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16th WebSci 2024: Stuttgart, Germany

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Companion Publication of the 16th ACM Web Science Conference, WebSci Companion 2024, Stuttgart, Germany, May 21-24, 2024. ACM 2024
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  - conf/websci/ZagovoraSW24
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Olga Zagovora, Talisa Schwall, Katrin Weller:
Amplifying Academic Research through YouTube: Engagement Metrics as Predictors of Citation Impact. 1-2
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  - conf/websci/VincoASA24
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Daniele De Vinco, Alessia Antelmi, Carmine Spagnuolo, Luca Maria Aiello:
Deciphering Conversational Networks: Stance Detection via Hypergraphs and LLMs. 3-4
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  - conf/websci/Haak0KS24
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Fabian Haak, Björn Engelmann, Christin Katharina Kreutz, Philipp Schaer:
Investigating Bias in Political Search Query Suggestions by Relative Comparison with LLMs. 5-7
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  - conf/websci/Neumann024
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Jennifer Neumann, Peter M. Fischer:
Multi-Means Analysis of Information Diffusion in Telegram. 8-9
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  - conf/websci/SpadeaS24
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Fernando Spadea, Oshani Seneviratne:
Navigating the Chaos: The Sandbox Network Analysis. 10-11
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Steffen Lemke:
Online Press Releases: Earmarks of Outstanding Research? 12-13
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Gautam Kishore Shahi:
TweetInfo: An Interactive System to Mitigate Online Harm. 14-16
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Abhay Goyal, Roger Ho Chun Man, Roy Ka-Wei Lee, Koustuv Saha, Frederick L. Altice, Christian Poellabauer, Orestis Papakyriakopoulos, Lam Yin Cheung, Munmun De Choudhury, Kanica Allagh, Navin Kumar:
Using Voice Data to Facilitate Depression Risk Assessment in Primary Health Care. 17-18
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Gautam Kishore Shahi:
WarClaim: A Dataset for Fake News on 2023 Israel-Hamas war. 19-21
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  - conf/websci/WedelHM24
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Lion Wedel, Jonathan Hendrickx, Anna-Theresa Mayer:
What occurs as #news on TikTok? A Computational Approach. 22-23
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  - conf/websci/FarahaniHDHS24
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Farane Jalali Farahani, Sara Hanke, Corina Dima, Raphael Heiko Heiberger, Steffen Staab:
Who is targeted? Detecting social group mentions in online political discussions. 24-25
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  - conf/websci/Kinder-Kurlanda24
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Katharina Kinder-Kurlanda, Marc Spaniol:
The WebSci24 PhD Symposium. 26
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Diyi Liu:
Content Moderation, Platformised Speech Governance, and Legitimacy: TikTok in South and Southeast Asia. 27-31
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Inwon Kang:
Advancing Web Science through Foundation Model for Tabular Data. 32-36
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Kayla Duskin:
Stemming the Tide of Problematic Information in Online Environments: Assessing Interventions and Identifying Opportunities for Interruption. 37-41
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  - conf/websci/Karandikar24
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Asilata Karandikar:
What Makes Consent Meaningful? 42-46
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Georg Ahnert, Max Pellert, David García, Markus Strohmaier:
Britain's Mood, Entailed Weekly: In Silico Longitudinal Surveys with Fine-Tuned Large Language Models. 47-50
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Cai Yang, Sepehr Mousavi, Abhisek Dash, Krishna P. Gummadi, Ingmar Weber:
Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction. 51-52
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  - conf/websci/BarkhordarA24
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Ehsan Barkhordar, Sükrü Atsizelti:
Assessing the Predictive Power of Social Media Data-Fed Large Language Models on Vote Preference. 53-55
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Mehmet Fuat Kina, Sükrü Atsizelti, Zübeyir Nisanci, Erdem Yörük, Ali Hürriyetoglu, Melih Can Yardi, Oguz Gürerk, Tolga Etgü, Yusuf Akbulut, Firat Durusan, Gizem Bacaksizlar Turbic:
Validating Digital Traces with Survey Data: The Use Case of Religiosity. 56-59
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Gautam Kishore Shahi, Amit Kumar Jaiswal, Durgesh Nandini, Luis-Daniel Ibáñez, Thomas Mandl, Haiming Liu:
Report on the 1st Workshop on Diffusion of Harmful Content on Online Web (DHOW) at WebSci 2024. 60-64
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Daniela Godoy:
On the moral intuitions of fake news spreaders. 65-68
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Siam Sadman:
COVID-19 Fake News: A Systematic Literature Review using "SmartLitReview". 69-74
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Avigyan Bhattacharya, Tapabrata Chakraborti, Subhadip Basu, Alistair Knott, Dino Pedreschi, Raja G. Chatila, Susan Leavy, David M. Eyers, Paul D. Teal, Przemyslaw Biecek:
Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario. 75-84
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Lorenzo Cima, Amaury Trujillo, Marco Avvenuti, Stefano Cresci:
The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit. 85-93
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Rabiraj Bandyopadhyay, Dennis Assenmacher, Jose Maria Alonso-Moral, Claudia Wagner:
Sexism Detection on a Data Diet. 94-102
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  - conf/websci/ChandaDP24
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Supriya Chanda, Abhishek Dhaka, Sukomal Pal:
Towards Safer Online Spaces: Deep Learning for Hate Speech Detection in Code-Mixed Social Media Conversations. 103-109
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  - conf/websci/Corso0M24
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Francesco Corso, Francesco Pierri, Gianmarco De Francisci Morales:
What we can learn from TikTok through its Research API. 110-114
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Bhanu Khetharpal, Anandita Khanooja, Abhishree Verma, Ankita Ankita, Rishabh Kaushal:
Understanding Influence Operations via Images. 115-119

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