OSoMe, IUNI, and CNetS to present 51 papers at upcoming conferences

April 20, 2023

We’re excited to announce that researchers at the Observatory on Social Media, the IU Network Science Institute, and the Center for Complex Networks and Systems Research will present 51 papers at various conferences over the summer.

Network Science Conference (NetSci)

Oral presentations

Sadamori Kojaku, Clara Boothby, Filipi Silva, Attila Varga, Xiaoran Yan, Stasa Milojevic, Alessandro Flammini, Filippo Menczer, Yong-Yeol Ahn: Mapping the space of research interests with embedding methods
Sadamori Kojaku, Yong-Yeol Ahn, Filippo Radicchi, Santo Fortunato: Clustering graph embedding in sparse networks
Munjung Kim, Sadamori Kojaku, Yong-Yeol Ahn: Quantifying disruptiveness using neural embedding method
Sadamori Kojaku, Robert Mahari, Sandro Lera, Esteban Moro, Alex Pentland, Yong-Yeol Ahn: Uncovering the universal nature of citation networks: from science of science to law of law and patterns of patents
Matthew R. DeVerna, Rachith Aiyappa, Diogo Pacheco, John Bryden, Filippo Menczer: Social media cascade reconstruction to find misinformation amplifiers
Sara Venturini, Satyaki Sikdar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato: Social contagion in science
Filipi Silva: Exploring visualizations of large networks and embeddings using Helios-Web

Posters

Filipi N. Silva, Sadamori Kojaku, Lili Miao, Yong-Yeol Ahn, A Fine-Grained Map of All Sciences: Visualizing Nations’ Scientific Production
Ashutosh Tiwari, Sadamori Kojaku, Yong-Yeol Ahn: A biased contrastive learning debiases graph neural networks
Rachith Aiyappa, Yong-Yeol Ahn: Extracting Belief Networks from Tweets

International Conference on Computational Social Science (IC2S2)

Plenary talks

Sara Venturini, Satyaki Sikdar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato: Social contagion in science

Oral presentations

Sara Venturini, Satyaki Sikdar, Marie-Laure Charpignon, Sagar Kumar, Santo Fortunato, Maimuna Majumder: The COVID-19 research outbreak: how the pandemic culminated in a surge of new researchers
Morgan Frank, Yong-Yeol Ahn, Esteban Moro: AI exposure predicts unemployment risk
Sadamori Kojaku, Robert Mahari, Sandro Lera, Sandy Pentland, Esteban Moro, Yong-Yeol Ahn: Uncovering the universal nature of citation networks: From science of science to law of law and patterns of patents
Ashutosh Tiwari, Sadamori Kojaku, Yong-Yeol Ahn: Biased contrastive learning debiases graph neural networks
Filipi N. Silva: Real-time visualization of large networks and embeddings
Bao Tran Truong, Xiaodan Lou, Alessandro Flammini, Filippo Menczer: Vulnerabilities of the Online Public Square to Manipulation
Akira Matsui, Kunihiro Miyazaki, Taichi Murayama: Exploring Urban-Rural Disparities in the Production of Politicians’ Information

Posters

Matthew R. DeVerna, Rachith Aiyappa, Diogo Pacheco, John Bryden, Filippo Menczer: Social media cascade reconstruction to find misinformation amplifiers
Rachith Aiyappa, Yong-Yeol Ahn: Zero-Shot Stance Detection on Tweets
Munjung Kim, Sadamori Kojaku, Yong-Yeol Ahn: Quantifying disruptiveness using a neural embedding method
Filipi Nascimento Silva, Sadamori Kojaku, Lili Miao, Yong-Yeol Ahn, A Fine-Grained Map of All Sciences: Visualizing Nations’ Scientific Production
Sadamori Kojaku, Clara Boothby, Filipi Nascimento Silva, Attila Varga, Xiaoran Yan, Stasa Milojevic, Alessandro Flamini, Filippo Menczer, Yong-Yeol Ahn: Mapping Scientific Foraging
Lili Miao, Byungkyu Lee, Vincent Lariviere, Cassidy Sugimoto, Yong-Yeol Ahn: The hierarchical structure in international collaboration
Kunihiro Miyazaki, Taichi Murayama, Akira Matsui, Takayuki Uchiba, Haewoon Kwak, Jisun An: Political Honeymoon Effect on Social Media: Characterizing Social Media Reaction to the Changes of Prime Minister in Japan
Kunihiro Miyazaki, Takayuki Uchiba, Haewoon Kwak, Jisun An, Kazutoshi Sasahara: How do Toxic Comments Induce Fearful Responses in Anti-vaccine Videos on YouTube?
Francesco Pierri, Matthew R DeVerna, Kai-Cheng Yang, David Axelrod, John Bryden, Filippo Menczer: The spread of vaccine misinformation on Twitter during 2021
Munjung Kim, Sadamori Kojaku, Yong-Yeol Ahn: Quantifying disruptiveness using neural embedding method

International Conference on Science of Science and Innovation (ICSSI)

Oral presentations

Sara Venturini, Satyaki Sikdar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato: Social contagion in science
Sara Venturini, Satyaki Sikdar, Marie-Laure Charpignon, Sagar Kumar, Santo Fortunato, Maimuna Majumder: The COVID-19 research outbreak: how the pandemic culminated in a surge of new researchers
Munjung Kim, Sadamori Kojaku, Yong-Yeol Ahn: Quantifying disruptiveness using neural embedding method

Posters

Sadamori Kojaku, Clara Boothby, Filipi Nascimento Silva, Attila Varga, Xiaoran Yan, Stasa Milojevic, Alessandro Flamini, Filippo Menczer, Yong-Yeol Ahn: Understanding the landscape of COVID-19 research by using neural embedding
Ana C. M. Brito, Filipi N. Silva, Diego R. Amancio: Analyzing the influence of prolific collaborations on authors productivity and visibility
Sirag Erkol, Satyaki Sikdar, Filippo Radicchi, Santo Fortunato: Consistency pays off in science
Attila Varga: Autocatalysis of social capital in scholarly networks
Lili Miao, Byungkyu Lee, Vincent Lariviere, Cassidy Sugimoto, Yong-Yeol Ahn: The hierarchical structure in international collaboration

International Conference on Web and Social Media (ICWSM)

Full Papers

Kunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, Jisun An, Haewoon Kwak, Kazutoshi Sasahara: “This is Fake News”: Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False Information
Taichi Murayama, Akira Matsui, Kunihiro Miyazaki, Yasuko Matsubara, Yasushi Sakurai: The Chance of Winning Election Impacts on Social Media Strategy
Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer: Misleading Repurposing on Twitter Datasets
Rachith Aiyappa, Matthew R. DeVerna, Manita Pote, Bao Tran Truong, Wanying Zhao, David Axelrod, Aria Pessianzadeh, Zoher Kachwala, Munjung Kim, Ozgur Can Seckin, Minsuk Kim, Sunny Gandhi, Amrutha Manikonda, Francesco Pierri, Filippo Menczer, Kai-Cheng Yang: A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections
Shaoyi Liaw, Fan Huang, Fabricio Benevenuto, Haewoon Kwak, Jisun An: YouNICon: YouTube’s CommuNIty of Conspiracy Videos

Workshops

Tuğrulcan Elmas, İlker Gül: Opinion Mining from YouTube Captions Using ChatGPT: A Case Study of Street Interviews Polling the 2023 Turkish Elections

The Web Conference (webconf)

Posters

Fan Huang, Haewoon Kwak, Jisun An: Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech
Fan Huang, Haewoon Kwak, Jisun An: Chain of Explanation: New Prompting Method to Generate Higher Quality Natural Language Explanation for Implicit Hate Speech
Tuğrulcan Elmas, Stephane Selim, Célia Houssiaux: Measuring and Detecting Virality on Social Media: The Case of Twitter’s Viral Tweets Topic

Workshops

Tuğrulcan Elmas: Analyzing Activity and Suspension Patterns of Twitter Bots Attacking Turkish Twitter Trends by a Longitudinal Dataset

Web Science Conference (WebSci)

Kunihiro Miyazaki, Taichi Murayama, Akira Matsui, Masaru Nishikawa, Takayuki Uchiba, Haewoon Kwak, Jisun An: Political Honeymoon Effect on Social Media: Characterizing Social Media Reaction to the Changes of Prime Minister in Japan
Hong Zhang, Haewoon Kwak, Wei Gao, Jisun An: Wearing Masks Implies Refuting Trump? Towards Target-specific User Stance Prediction across Events in COVID-19 and US Election 2020
Tuğrulcan Elmas: The Impact of Data Persistence Bias on Social Media Studies

Midwest Cognitive Science Conference

Plenary talks

Devin Robert Wright, Ege Otenen, Yiyan Tan, Ying Li, John K. Kruschke, Fritz Breithaupt: Man vs. Machine: What ChatGPT Reveals about Human Memory, Emotion, and Creativity in the Serial Reproduction of Stories

Midwest Machine Learning Symposium (MMLS)

Posters

Rachith Aiyappa, Jisun An, Haewoon Kwak, Yong-Yeol Ahn: Can we trust the evaluation on ChatGPT?