🥳🥳🥳 Pleased to share that our work on characterizing #ContentModeration on @bsky.app has been accepted in @icwsm.bsky.social 2027. In this work, we investigate three aspects of @moderation.bsky.app (a) its degree of automation, (b) its effectiveness and (c) the landscape of harm it detects.
In Bowling with ChatGPT, we showed how people increasingly use conversational AI as a companion. In our new paper (accepted at #TheWebConf2026), we ask what happens to all that self-disclosure-- and study ChatGPT’s Memory feature. Arxiv : arxiv.org/abs/2602.01450
The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT
To enable personalized and context-aware interactions, conversational AI systems have introduced a new mechanism: Memory. Memory creates what we refer to as the Algorithmic Self-portrait - a new form ...
arxiv.org
#BowlingAlone documented a quiet shift from collective to solitary practices. In Bowling with ChatGPT ( #TheWebConference2026), we study whether a similar shift is unfolding in interactions with conversational AI. arxiv link: arxiv.org/abs/2602.01114
#BowlingAlone documented a quiet shift from collective to solitary practices. In Bowling with ChatGPT ( #TheWebConference2026), we study whether a similar shift is unfolding in interactions with conversational AI. arxiv link: arxiv.org/abs/2602.01114
Bowling with ChatGPT: On the Evolving User Interactions with Conversational AI Systems
Recent studies have discussed how users are increasingly using conversational AI systems, powered by LLMs, for information seeking, decision support, and even emotional support. However, these macro-l...
arxiv.org
#BowlingAlone documented a quiet shift from collective to solitary practices. In Bowling with ChatGPT ( #TheWebConference2026), we study whether a similar shift is unfolding in interactions with conversational AI. arxiv link: arxiv.org/abs/2602.01114
Bowling with ChatGPT: On the Evolving User Interactions with Conversational AI Systems
Recent studies have discussed how users are increasingly using conversational AI systems, powered by LLMs, for information seeking, decision support, and even emotional support. However, these macro-l...
arxiv.org
Excited to share that three papers from our group have been accepted at The Web Conference 2026 (www2026.thewebconf.org) Huge shout out to Sepehr Mousavi, Sai Keerthana Karnam, Qinyuan Wu and Elisabeth Kirsten for leading the works. Stay tuned for more details. #TheWebConf2026
The Web Conference 2026 - Dubai, UAE
www2026.thewebconf.org
Congrats to Prof. Dr. @ingmarweber.de on his AAAI Fellowship! The fellowship honors individuals with significant contributions to #AI. Working in societal computing, he bridges AI and the social sciences, analyzing social platform data for valuable insights on society. 👏 Read more: sic.link/weber
In today's @ic2s2.bsky.social #IC2S2 poster session:: "Studying Behavioral Addiction by Combining Surveys and Digital Traces: A Case Study of TikTok" Joint work with Cai Yang, Sepehr Mousavi, @adash93.bsky.social and Krishna Gummadi. Find me at poster #37. Full paper: ojs.aaai.org/index.php/IC...
Who would know NeurIPS review deadline may also be detrimental for submission platforms 😜
My top 2 key takeaways 1. Data scraping can be legally justified if you satisfy certain conditions of eligibility. Under DSA Article 40 (12) platforms are providing publicly accessible data too. Although, many studies question their reliability now. @icwsm.bsky.social
Fascinating discussion on data access under Digital Services Act to make platforms more "Auditable" to assess and mitigate systemic risks.
Fascinating discussion on data access under Digital Services Act to make platforms more "Auditable" to assess and mitigate systemic risks.
🎤 Silvia Merisio from @ec.europa.eu on the DSA’s impact on Social Data Science and an insightful panel discussion with Oana Goga and Krishna Gummadi, moderated by @frapierri.bsky.social