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Okay, I think it's time to start. So welcome everyone. To this new panel on RC 3 33 the title using social media for social research, theoretical and methodological challenges.

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The organizers of this session are Felicia Dale from the University of Salerno and Cristiano Falako from the University of Naples, Federico, SECOND.

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I am Francesco Mazzo Rinaldi from the University of Catania in in Italy I'm sharing this meeting.

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So we will have 4, presenters. 2 actually pre-recorded the the interventions and then we have 2 more online So I will start with the first one.

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The title is reputation on capital and vintage Fashion, a cross-platform analysis on Instagram and Diktok.

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The other rock comets from the university they at least to the little Campanya Luigi, one, be tedly in Italy of course and the other one is Camila Volpe from the university, So this is gonna be pre-recorded so you can

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Answer everyone, I'm Camille Lavoip from Universal Study is to live in Aqua Lefebvre at the moment meeting at University of Amsterdam and I'm now going to present my work.

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And I'm now going to present my work, and I'm now going to present my work, Reputational Capital, a Mintage Fashion, across Platform Manual Capital, a Mintage Fashion, across Platform Manualies, in Instagram, at least.

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Part of my PhD teaching. I'm at my second year of my PhD in Naples.

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And I'm working on it with Dr. Trokumatsa from, As we all know, digital.

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This is validation are revolutionized most aspect of social life and the digital networks that are more basically defined the actors that compose it.

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And which actor are we going to look at? We are going to look for forms of consumption. So basically we're going to look at customers on social media.

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But which can't what kind of customers are basically industry sectors so in this you know, I result said, we are constantly in contact with a contemporary industry's attic that leads people, users lives.

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Actors, to produce content to keep satisfied. So the status is a reputation of status. And the most known lectures are influencer that are the one that can accumulate reputation or capital online.

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But they're not the only one that are trying to do it and they're not the only actors that are important in the network.

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And so we are basically going to look at industry's economy and industrial actors, but what does industries mean?

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A little capital labor intensive economy in which actors basically tend to engage in the market competition rather than market.

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For a nomination and so we're going to operate it in the digital context. Looking basically at what at the capital they're looking for that is basically celebrity for formancy, interactivity, reality.

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And so reputation are stamped out. But let's look into this methodological challenge and it's basically what we had to face starting this project You know, algorithms shape of course and define.

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The limit the platform experience and the affordances escape also the relationship between the user and the platform. And we have to keep this in mind when we are asking ourselves what is reputation reputation are capital?

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I according to the literature. Is you know, virality, celebrity, interactivity. So we took from the literature to these 3 definition creating these 3 IT model for our reputational capital and we decided to a personal at Oprah smart lies them.

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Not it was really difficult to operationalize the reputational capital itself so this time we decided to split it into 3, these 3 IT model and operationalize the outcomes of reputational capital that are morality celebrity interactivity and our proxy are views for popularity followers for celebrity and likes and comment for interactivity.

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But what are we looking at? This study as I said is partos of a wider work that is about the second one and the inbustriousness of second hand.

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And so we're basically studying with the focus of second and how is reputation as capital distributed on Instagram and on Diktok so on this platform.

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Doing what is cross-platform analysis. And asking ourselves is is emerging an industrial platform economy?

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On Viktok on Instagram and basically with second and

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So we we choose to platform to confront and cross-platform analysis that was derived by Rogers.

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Some years ago. It is really wild to do because You know, you have to to come from 2 different things that have 2 different performance.

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We'll say it later. Anyway, we choose Instagram and Piktok because basically there are first-generation and the second generation platform.

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TikTok is a new platform and even if Now Instagram is following. And with reels. You know, it's, they're represent.

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Change. In the bathroom and they're both visible and there Some common performance is that are different but are similar so we try to confront them.

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Said that. The reality on these 2 platforms is different. And we take as a refrement, I mean that basically said Instagram as a personal base fame in Tik Tok as a POSTEMBERITY.

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So we tried to sell this. On the quantitative side.

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So the And says because we basically had a problem in collecting data. We collected data. In on Instagram.

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With, so it was super easy while we don't have the API of TikTok.

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So it was super easy while we don't have the API of TikTok. So it was super rough and I mean we have a disparity.

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It's really a Mr. Because

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On the first side, we are studying a phenomenal social I mean, second one that is a non-digital phenomena, but it's also a digital phenomenon because now everyone is talking about it on social media and there are platforms that are basically born just for bad things, etc.

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But on the other side, we are studying basically to platform Instagram and Diktok. There are completely different on how They have similarities but It was really rough to take.

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From Pictou, I think you already know if you try to do it. But

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So what we had was basically a lot of data for Instagram at not so many data for Tik Tok.

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Because of the platform it's itself and the possibility for researchers to get data from the platform.

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So we basically decide to overcome. This problem defining a common lifespan of the content. So we had different quantities in the collected path.

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But we selected both with the same lifespan. In order to study the circulation of reputation as capital on the platform.

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To understand the structure of the audiences and the spread of reputational capital. So we didn't look at the population like how the audiences were, how much they were populated.

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But basically how they are organized around a topic. So that's how we try to, that's how we try to overcome is that a disparity.

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As we already said, or not all actors are Equal, that they're not creative equal and also the interest drive the choices and lead to the formation of different audiences around the different interests.

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So we decided to analyze 2 different groups. Second and and Brent.

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So we collected the dot- basically we choose the this pool of hashtag and we ask that from the ban one brand one for the luxury one for the poplar and one from night that is the more follower brand on the platform?

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So to have a first look into the industry business of the 2 different platforms we decided to run a descriptive analysis in order to understand the distribution of the indicators with selected on the different platform.

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So, looking at what we got, even if we don't have much data from TikTok, as we said, you can say that both platforms have trace of digital industryiosity highlighted basically by their symmetry that is shown in the distribution of the variables that we analyze.

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And especially from Dink Park.

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And also think TikTok has much more users that have accumulated popularity, interactivity and virality for their post because they are so many atliers.

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On the second stage of our study, we decided to examine the patterns of connections form to gain insight into the dynamics of the audience engagement.

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And the formation of publics around second hand and grand topics.

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This is the network we created started from Instagram second and and an actor associated with this. With the second and on Instagram demonstrates our collaborative audience engagement partner partners because He offers a glimpse of a possible sense of community and collective interest in the second entrance and this is more you know notice if we look at the Instagram

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brand. Network that is basically submit our egocentric audience dynamics because It's like individuals within this network primarily focus on brand interests.

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And so they are more. Like less collaborative less interaction among the users themselves. Within the network and It's like they focus on on a few profiles that are probably the grand ones.

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Of course, given the low numbers associated to TikTok, we couldn't now run network analysis for sure we're gonna if we are not going to.

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Resolve, you'll also solve this this issue we are probably going to you know, follow the study of TikTok on the qualitative side.

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Because it's super challenging at this moment so we're open to you know suggestions So that's it.

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That's how we're dealing with it. And We are basically trying to understand.

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If, you know, studying industries. Platform economies in general with a focus on second language.

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Having a wider insight on indigenousness in general and platforms and also the role of further things in this.

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In this dynamics. And so that's it, that's how we are trying to deal with it.

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On the methodological side. Thank you for your attention.

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Okay.

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We move to the second presentation.

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Which is okay. Which should be online. Sorry. Okay.

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We can. Oh no, are they online? I don't know if it's, Fernandez.

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One Fernandez Pradoes. Are you online?

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No one from that group is online.

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Laugh That's okay. So I will switch to the third one. Which is

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I don't know, I probably will join later, Anyhow, we will see. And I don't know if Fernando Yatsetta is also online.

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Can't see the third one either. Yeah. So we will see if they will join later even if we have just a 4 presentation.

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And this is a pre-recorded one. Is the one from, Valentina Daudio, been changed as Posito and Francesco Notary from the University of Salerno and the University of Roma.

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Title is exploring an Italian online community of income and lithographic study. So by clicking this.

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Just

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Good morning. We are Valentina Dahlia and Francesco Roni from University of Saleroom in Italy and Mensensis Posito from the university of Rome, Nazi in Italy.

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Today we are going to present our research work titled Exploring an Italian Online Community or Mensa in a pornographic stadium.

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It's a pleasure for us to share our research work and our results. So if you have any questions or any curiosity please let us know thank you The term in cells first appears in late 19 nineties to reverse to those who had not had who never had several relations for a long period of time despite a tense.

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Oh.

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In fact, now in fact the term in size, originated as a portmanteau of inulatory celibate and generally indicate a man.

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Who has difficulty dating possible partners or bonding in a relationship. In Salz or Fun Share, their stories of sexual failure which they attribute mostly to being ugly or being poor or not being successful people.

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Their theory states that the natural social gender structure is shaped by There was sexual male domination. However, this structure has been overturned by families and contemporary women who are held responsible for for men's suffering.

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They made explicit masculine masculine ideology which will be explored in more detail later based on an individualistic view and gender studio type.

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However, the insults also describe themselves as weak, said and lonely in patient with life. And disadvantage it from an especially aesthetic point of view.

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This making says ideology and ambiguous and contradictory philosophy. Well in language and feelings are grudged and of of garbage and aid are caused especially in America.

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Several episodes of violence against former or potential partners or even random people. In fact, there are several violent episodes such as in April, 2,018 in a 25 year old man rode over pedestrians working on sheets of Toronto.

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Killing 10 of them before carrying out the massacre he had deposited a message on Facebook, in a rebellion has begun.

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Since technology and online communities have spread widely and online communities have spread widely, insects have gone. Since technology and online communities have spread widely, incense have found they have spread widely, incense have found their own online location in which to share and reinforce their ideas and have found their own online location in which to share and reinforce their ideas and

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beliefs. Therefore the insulin phenomenon is strongly characterised by the film of confirmation bias which is mainly manifested through so-called for research groups have placed in cells among the most popular and active monospier categories.

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The term small sphere, to the expansion of the network online online spaces and groups for granted primarily by men who share an interest in discussing issues concerning gender relations, sexuality or masculinity.

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Other studies classified in cell community as a specific subculture with specific own language and specifically shared felicism.

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In fact, subcultures typically operate in new position. In opposition to the dominant culture or as their rejection of its values from the intersection of their ideology and the creation of their own language.

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We can find topic as a bill or blue pill borrowed from the 1919 filmed magic. The Matrix and instances point to the degree of subjugation or man experience.

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From society and in particular from women. The blue field men are those who personally accept they are increasingly increasingly marginalized social role at the end of women who gain more and more social prestige.

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The red peeled ones on the brand are those who have managed to perceive the reverse alone, the previously man-dominated social structure.

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Therefore they seek to rebel and not submit the male domination. Topics has chart and Stacy.

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Chadi is a term used to refer to a man who is considered a physically fit as having a certain charm and prestige.

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Olfur and Chads are associated to weeds that is, Stacy is a beautiful and charming woman who only grand themselves to child maze.

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And to tell the meals. These categories are the most hated as Located as hein cells do not consider themselves comparable to chats, therefore they cannot afford to date.

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In recent years, the spread of the insult community in Europe has prompted the European Union to investigate the phenomenon among the most significant server reasons it emerged that Italy is the fourth European country in terms of number of cancels.

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In 2,007 the first Italian ins online community was born. Since then we have been experiencing a continuous proliferation of groups that to date is difficult to quantify.

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In Italy in South Sun Line communities have been explored several times by research groups that find specific futures.

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In particular, the in subculture often tend to self-present itself. Through an Italian culture figures such as Giorgio Monuvardi is an Italian poet and writer.

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Is remembered for 2 reasons in particular because of his unattractive physical appearance. For school appearance.

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He's literally production, focus you don't know. Know in life and rejection from his beloved home woman.

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And also in the subculture who Fontent tends to have a distinct length from other communities in the other countries in the other countries.

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Italian cell refers to woman called them That means be a new person. Considering the large number of ins in Italian territory and the lack of status observing online communities in order to identify certain attitudes and that into some potentially dangerous social dynamics we decided to explore the phenomenon on one of the most populated insult forum in

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Italy.

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Today we present the findings of a comprehensive research study that aims to shed lights on online interaction and network structure of insult community.

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Our research objective was first to explore the main content of insults lying interaction. And second to delve deeper into the structure of insults line network.

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Before doving into the findings, let me provide you with an overview of the time and space in which our research was conducted.

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The lurking phase of our reserves spanned from first October, 2,022 to thirty-one's December, the twentieth 22.

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January, 2,023 to third June, the twentieth 23 during which we collect and analyze the relevant data.

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Yeah.

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Our research focused on analyze the relevant data. Our research focused on the most data. Our research focused on the most popular Italian online community of Insulin.

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And focus on understand how it aligns with or different from its global counterparts. To achieve our research objectives, we employed a combination of research methods and techniques.

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Nektonography plates a pivotal role in our studying allow us to immerse ourselves in your line world of insol and observe its members behavior interaction and discussion.

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Through Nicknography we gain first-hand experience of in cell communities online environment which greatly and change our understanding of its nuance.

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Future more we you we utilize semi automatic content analysis to systematically analyze the vast amount of textual data generated within the insul community.

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Is made to a label us to identify recurring terms, sentiments and pattern of discourse, providing available insights into the main content of insults online interaction.

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The semi automatic nature of the analysis allied us to combine the efficiency of automated techniques with the interpretive capabilities of human researchers.

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Additionally, network analysis played a crucial role in our research by applying network analysis technique we were able to map out the structure of an insular line network identify keynotes and clusters and exterminate the relationship and connection among community members.

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This approach provide us a comprehensive understanding of the network dynamics and hierarchies within the Insok community.

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Yes.

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Oh.

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So.

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Good morning. We are. Or is there?

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Today.

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Yeah.

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That's why. Enable reserters to immerse themselves in your lying communities where users interact and share experience.

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By standing there conversation behaviors and feelings we can gain deep insight into the unfiltered opinion and emerging trends.

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Social netiography allow us to uncover in the patterns emerging tames and users so aspirin in digital landscape by analyzing the vast amount of a user-generated content we can identify the key drivers beyond user decision making.

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Explore the emotional connections and gain a significant evaluation of their point of view.

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When he's pressed.

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Categorizing and quantifying textual content are allowing us to gain valuable insight into various aspects. Such as teams, altitudes, and emotion by employing manifest content analysis we are able to focus on explicit and observable content such as teams and keywords.

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However, for our analysis is also important to the Latin content. Which enables us to explore underlying meanings, attitudes and emotion amended in the text.

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And it's also important to seeks to explain the relationship and connection between different aspects of the content.

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Categorizing and quantifying text well content are allowing us to gain valuable insight into various aspects. Such as teams, altitudes, and emotion by employing manifest content analysis we are able to focus on explicit and observable content such as teams and keywords.

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However, for our analysis is also important the Latin content which enables us to explore underlying meanings, attitudes and emotion amended in the text.

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And it's also important to seeks to explain the relationship and connection between different aspects of the content.

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That

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Alllying communities networks are complex webs of interaction format by individuals and groups through digital platform. Understanding they opinion and their dynamics is crucial for our research.

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We analyze in fact users platform and content. User engaged through past comments and likes forming relationship and communities by applying network analysis technique we can gain insight into the structure and dynamics of online community networks.

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Measures such as centrally and community detection help identify key influencer as subgroup within these networks.

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All like community have a deep impact on society. However, they also pose challenges such as information or loot and echo chambers that can hinder diversity of true and impede healthy this course.

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Okay.

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Now let's move on the findings of our research the exploration of the main content of insults online introduction revealed a range of topics and discussion from our analysis we observed a prevalence of discussions related to involuntary celibacy, frustration.

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And social perception of attractiveness. This conversation after revolved around personal experience and self perception. Tis your mirror our analysis of the insulin 9 network structure highlighted the presence of various subgroups of communities within the large network we identified cluster and individuals within similar beliefs and ideologies which facilitated the formation of eco chambers and

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rainforests existing views. However, it's important to notice that none of all the members of the community held extreme views and there was a sense of prospectiveiveness, dialogue and support within the network.

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Additional category were identified for each category. The master debate topics in the forum are those concerning the fecal self representation of in cell, women and how to approach them.

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Any part of the form interaction description of the insul theory of great importance is he said the red pill and the blue pillar theory disturbed from the film Matrix and in Cellar Matrix and in Cellar can accept one of these of 2 theory and then confront the in the world.

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The Red Pill theory has said that the contemporary and then confront the win in the world. The Red Appeal Theory and then confront the win in the world.

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The Red Appeal Theory has said that the contemporary award has created that the contemporary award has created a set that the contemporary award has created a set that the contemporary award has created a degree to social and decouple for a chiseling award as created a glitose social land decouple for the chief gender of

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heterosexual anti-capa for a she's gender, editor of or sex or men who would be the real victim of today's society.

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Blue theory indulging cell to accept what to the media a commercial society say think about them.

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After identify 5 categories, so we studied the work to discuss a discussion of different to forum members who are opening the discussion open at the by a moderator are the most follower that we were in and the forum and our base had done the category of misogyny and insulin life.

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Top users are almost always focusing in misogyny category. And finally the Norman La Forum uses Dakar numerically, numerically I get that or that yourself types are adults who cover the most topic.

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Afterwards, use an interaction where extracted with the program orange the interaction collector are more than 16,000 and using Jesse Jeffy's software and Network Canal he was performing the network canal his return 293 networks and the is calculate another at a class singer of chent for investigate the strength of chant for investigate the strength of the

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network.

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After processing Matrix using Mjaffi it was a sport that the adieu's had to do with the worst viewer for identified 8 network with the more interaction this choice was made because our goals was to identify the network that producer the most interaction in the forum.

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Interaction between the members of this 8 network cover kernel side to see what there were talking about and the attitude within the forum of the most active members.

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Free type of users to identify. First the user, coal opinion leader in this group are member of the red, the blue, the green and the partpone network.

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There are people who do the most interaction and the I guess ranking within the forum. You are favourite topic is how to deal with women, women's behaviour and discussion of the physical appearance of a group member.

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In the forum they are the one who initiated the most discussion, the expanding philosophy and then the people have blueprints.

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And they are very often related to historical events and the famous people to incile theory and in the theory.

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The seek on the group is the facilitators. In this group, there are the man over the yellow network manage the flow with the conversation in the forum and the correct use of thread.

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These are ranking in the forum that this man is not like but they are recognized by other member as the expert of Dinserward.

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In this cluster at the moderator the moderator of the forum you are very topic is in is a talk about in cell theory, red pill, a blue pill MP in session into the world and how to cope with daily life and the sex or speed.

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In the form room a moderate thread to conversation at the interveni in the Getty but to indicate what Tanning cell is, and, from a personal life, the member in this network to display out an The last group is called the Critical Mark Mas and his form and the body orange, azure

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and the brown network. For a member of activity actively participate in conversation but rarely open threats. Racking before room is very low.

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Your favor your favorite topic is an insult theory relationship with the women, a discussion of physical parents of a group member and a voting physical aspect of celebrities or other group members.

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In the forum they tend to interface with celebrities or other group members. In the forum they tend to interface with or other group members.

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In the forum they tend to interface with the opinion leaders. In the forum they tend to interface with the group members.

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In the forum they tend to interface with the forum they tend to interface with the leaders into the group and open a few threads discussion.

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Rarely the face respond and I prefer the discussion

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The limits of study is the only six-month interaction where collect and the interaction the post-color from the free portion of the forum and dotted the pay for not the paid portion of the forum.

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Footer study or future development these studies is analysed for room interaction in deep, investigating deep some issue such as the insert family or in cell as a representation relationship or in cell and the insul theory in for the last in play a future implication is the embedded, the paid part of the insul forum.

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Yeah. Okay. Okay.

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Again.

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Okay, so just to see if are there any panelists Online, join now.

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Fernandez and Prado and not online. Okay.

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Okay. So any any not question but more comments on on those 2 very interesting presentations I have to say yeah I mean I had a lot of So, let's say, especially on the first one, I mean, the problem of, methodologically speaking comparison problems whenever you are dealing with the 2 very

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different objectives and you want to make a comparison. It's not only on the kind of data that you are collecting that are different but just the objective.

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That you are you know analyzing. It was the first one, yeah. That's, that's fantastic.

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Hi, yeah, I'm a line.

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So we can probably see That's fantastic.

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Hi.

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Hi, can you see me?

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Yeah, just one moment so we will see you. Okay, hi, Camila. Thanks for we know that you are in the middle of night, right?

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Yeah. Yeah, I mean, Amsterdam. But yeah.

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You are in So thanks a lot. You know, I'm saying, anyhow, it's gonna be the same.

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Yeah.

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So is there any question for Camila from,

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No? Yes, please.

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Hi, I suppose I have a very broad question in a sense, but you already mentioned yourself like this methodological dilemmas and difficulties that you encountered and my question is so in in so in the research where we include social media analysis so How much?

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This general social research methodology would be applicable and to what extent you would say we need at least some part to reconcile and to have some application because I'm thinking for example about the sample and the usual way that we look at qualitative or quantitative something and I see a lot of issues with that when we have social media analysis because

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you do not have in a sense the same usual kind of background against which can do to assess if for example your sample of cases is representative in any way because you don't have any clues or how big the population is and so on.

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So I would wonder, so how much of the traditional methodological solutions we can apply and where we really need to look for, I don't know, innovative solutions and then when we assess the quality so I suppose that part of the assessment tools that we usually have they wouldn't fit and we wouldn't even know how to assess or did we do well or this

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is not a good data for example thank you

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Yeah, thank you for the question. So, one prime is my plea is in social sciences and statistics.

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I'm more the social science part. Fortunately, Rakamasa is more the statistics part.

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So. It is we talked about a lot. Up not just for this research but in general you know for our works and you know, drinking and things like that.

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We are really good friends but we always thought about this kind of things. I think the point is that when we're working on social media, it's not a sample.

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It's the the sort of case. I mean, and it is the statistically important.

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To say, because at that point you know it not representative but I mean, when we are working on social media, nothing is totally representative.

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And this is a big limit, I think. As you already mentioned. I mean, I think we should basically take into consideration that That's how, and that's what we can do maybe.

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And you know there are 2 different approaches, the quantitative, but they are all. It's like, sometimes it's like a 5 between quantitative ways.

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I don't know someone thinks that's quantitative. It's more representative than qualitative.

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I don't think it. This is the case because you know, remotes as Limits etc.

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But I don't know when we are studying social media. We can't say the what we are looking at is super representative of a population because it's not possible.

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We are just doing a selection and we are trying to do the best selection that is possible. In the case of this study

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As I mentioned in the presentation, this study is a part of my PhD that is a wider work on industries, economies, industries in digital economies, but in particular.

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You know, second time study. I think the second one is a particular focus as I don't know, it's like it's industry's on its own when even when it's not online.

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So the best thing we can do maybe is looking at the data at the reasons we have and trying to connect it with the limitations of the focus we have, the selection we have.

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And keep in mind that I don't know if I made clear my point Maybe the point is that we have limit and we just have to consider that.

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I, maybe we can't always. Overcome them

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Okay, thank you, Camila. Any other? Comment yet please.

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It's not the question for Camilla only, but about the session. No decision. It's something the first But now we are, with new phenomenon.

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That talking about the social media. Then, here we have to some studies talking about some phenomenon using So media then about for example as we see if we are working about for example Politics systematic or source systematic.

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I think it will be different. Then, talking about this. That let us talking about public about religion and about many things.

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The second, The problem of access to using the social media and knowing how to use it. For example, in Morocco we are talking about this, then we find it not only social activity.

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But as a working activity. You haven't the money, you use YouTube for example. Do you have income?

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Okay, then it's something and also this problem to the level of education. For example, in Morocco that we, we have many influenza, they haven't.

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A level of university in university that less than at the Promise University, that access. Then it's the this problem We have my question.

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It's these things. This remarks or observations. A problem about a social theory on social mediation in general.

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For all societies. What do you think?

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Yes, so. Yeah, yeah, we are basically looking at a phenomena as you said it is social media and of course not everyone.

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Has access to them in the same way. And yet then there's the problem, let's say, that is also sociological program of digital labels and or let's say digital neighbors are with one and later to have something to say about it and even to the name of it and so just Let me see.

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But yeah, You know, the point is that I think that the digital divide basically, I think what we are talking about correctly is, came wrong.

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Maybe I got, you know. The sound wrong. It is a thing, you just don't, right? Yeah.

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But I don't think it's, the only problem in the wider. You know context It's not like digital.

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Is the only problem. It's more like, probably digitized just, you know, increase.

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Other divides, or like, like other clavages that already exist. And that's a point of course, but I don't know.

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You know case of Microsoft. I'm looking at digital phenomena. So I'm looking at something that already exists.

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The let me pass the term offline. They mentioned. And this is translated on the online dimension.

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That's what I'm looking at. So Actually, in my study I'm not really looking.

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The people that are not accessible to it. It's a point that's a fair point that's a point we should look at, also in the digitalization of phenomena.

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But yeah, at the moment I'm just looking, you know, at the platformization.

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That's what I'm interested into. And I'm basically interested in, you know, also inequalities that already exist.

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Because. In my wider world, I'm also looking at affordances and the role of affordances into the creation of universities and inequalities, let's say, among the users.

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I talked about influencers in the presentation but I also want to look at you know order users that are not just influences because outline outliers are not the only in important actors in actors.

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So the

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Yes, please. Yes. Thank you for your interesting presentation. I was curious actually I'm just working with the Twitter data and as you may know it is not you know it's not possible anymore it just Peter's top, publishing data and so I was curious to know more about the other different social media, which kinds of

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data are available and accessible, for instance. Yeah, regarding Instagram and TikTok and is there any specific Api's for them and so Yeah, if you can just let me know about more technical issues.

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That would be great.

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Yeah, sure. As I mentioned, with the, Instagram and TikTok, Instagram is not because we have crop tangles and also a lot of others in you know, scrapers but rectangles.

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It has problems because it's meta platform. So the point is, okay, what is given?

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I mean, what is Meta giving us? So as social researcher, we should ask. You know, also this question about, I mean, there are plenty of people that is working on it and I mean, if you're interested only talking you should also Look, at this literature because it's very

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interesting. But I mean technically it's easy the problem is with TikTok, We gained like 200,000 posts for, Instagram.

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So with cryptangles, super easy. What for, mmm, for Diktok.

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There are no Api's. I mean, there are no official Api's and so the platform is always saying, yeah, we're working on it, but they're working on it.

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Since 5 years ago, something like that 4 years ago. I am not even trusting them anymore.

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But not for my teachers. Of course. And so we gain like, 20,000.

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Posts. We use manuscripts at the end AP 5 one

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You should look at it if you're interested in the data and there are also the DMI from Amsterdam.

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Platforms and things like that. And problem is that cookies are blocking it like we were.

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Collecting. Data from the hashtags and like we could go. We could get like 100.

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Cause for hashtag and this is basically a technical problem but I mean yeah you can get for many research in school.

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Upon qualitative research it's perfect basically. I mean, I'm here in Nazrang, many people are studying big dogs.

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They're not, I mean, they don't have problems with it because maybe they're looking at the qualitative side and there are a lot of false activities.

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The problem is that we have so many that for Instagram. And so that's the problem we, you know, we faced.

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But yeah, these are. The scraper we used and you should look at it now. Yeah, super cool.

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But we face some problem.

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Thank you. Thank you, Camilla. Someone else?

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Hmm, okay. Okay, just adding something. I mean, on on Diktok there is no way of API they are not going in that direction at least for the moment.

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I mean they that's true what the Camilla say that you know from time to time they say that they are they are working on on that possibility but you know is not in their policy I have to say in the strategy at the moment.

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You can anyhow. If you have technical expertise you can build your own scraper. And customize that scraer but you still need to be there you know it's because you have to change every week at least some of the features of the discovery you are actually customizing.

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So it's very intensive work to say, but this is the only way to get data from from Tik Tok.

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Danielle, okay. If there are no more questions I would say that we can and I see from online that the 2 other.

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Panelists didn't join. So we can, close here. This session, thanks again, Camila for being with us from Amsterdam in the middle of the night.

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And thanks the participant to be with us. Today. Thank you.