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16th WebSci 2024: Stuttgart, Germany
- Companion Publication of the 16th ACM Web Science Conference, WebSci Companion 2024, Stuttgart, Germany, May 21-24, 2024. ACM 2024

- Olga Zagovora

, Talisa Schwall
, Katrin Weller
:
Amplifying Academic Research through YouTube: Engagement Metrics as Predictors of Citation Impact. 1-2 - Daniele De Vinco

, Alessia Antelmi
, Carmine Spagnuolo
, Luca Maria Aiello
:
Deciphering Conversational Networks: Stance Detection via Hypergraphs and LLMs. 3-4 - Fabian Haak

, Björn Engelmann
, Christin Katharina Kreutz
, Philipp Schaer
:
Investigating Bias in Political Search Query Suggestions by Relative Comparison with LLMs. 5-7 - Jennifer Neumann

, Peter M. Fischer
:
Multi-Means Analysis of Information Diffusion in Telegram. 8-9 - Fernando Spadea

, Oshani Seneviratne
:
Navigating the Chaos: The Sandbox Network Analysis. 10-11 - Steffen Lemke

:
Online Press Releases: Earmarks of Outstanding Research? 12-13 - Gautam Kishore Shahi

:
TweetInfo: An Interactive System to Mitigate Online Harm. 14-16 - 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 - Gautam Kishore Shahi

:
WarClaim: A Dataset for Fake News on 2023 Israel-Hamas war. 19-21 - Lion Wedel

, Jonathan Hendrickx
, Anna-Theresa Mayer
:
What occurs as #news on TikTok? A Computational Approach. 22-23 - 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 - Katharina Kinder-Kurlanda

, Marc Spaniol
:
The WebSci24 PhD Symposium. 26 - Diyi Liu

:
Content Moderation, Platformised Speech Governance, and Legitimacy: TikTok in South and Southeast Asia. 27-31 - Inwon Kang

:
Advancing Web Science through Foundation Model for Tabular Data. 32-36 - Kayla Duskin

:
Stemming the Tide of Problematic Information in Online Environments: Assessing Interventions and Identifying Opportunities for Interruption. 37-41 - Asilata Karandikar

:
What Makes Consent Meaningful? 42-46 - 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 - 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 - Ehsan Barkhordar

, Sükrü Atsizelti
:
Assessing the Predictive Power of Social Media Data-Fed Large Language Models on Vote Preference. 53-55 - 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 - 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 - Daniela Godoy

:
On the moral intuitions of fake news spreaders. 65-68 - Siam Sadman

:
COVID-19 Fake News: A Systematic Literature Review using "SmartLitReview". 69-74 - 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 - Lorenzo Cima

, Amaury Trujillo
, Marco Avvenuti
, Stefano Cresci
:
The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit. 85-93 - Rabiraj Bandyopadhyay

, Dennis Assenmacher
, Jose Maria Alonso-Moral
, Claudia Wagner
:
Sexism Detection on a Data Diet. 94-102 - Supriya Chanda

, Abhishek Dhaka
, Sukomal Pal
:
Towards Safer Online Spaces: Deep Learning for Hate Speech Detection in Code-Mixed Social Media Conversations. 103-109 - Francesco Corso

, Francesco Pierri
, Gianmarco De Francisci Morales
:
What we can learn from TikTok through its Research API. 110-114 - Bhanu Khetharpal

, Anandita Khanooja
, Abhishree Verma
, Ankita Ankita
, Rishabh Kaushal
:
Understanding Influence Operations via Images. 115-119

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