mlsanityData to 7 Oct 2026

From Web(logs) to Web(AI): Questions, Platforms, and Methods across Twenty Editions of ICWSM

arXiv 2610.00205 ↗First posted 20 Sep 2026cs.SI cs.CL cs.CYcited by 0

Not on the map. Why?

Abstract (arXiv)

Over twenty editions, the ICWSM community has examined social life online as platforms, interactions, and research methods have changed. What can this body of research tell us at this critical juncture, as AI increasingly reshapes how people communicate online? We analyzed 2,139 indexed contributions from 2007 to 2026, distinguishing topics identified through nonnegative matrix factorization from problem framings captured through explicit textual cues. We find that platform mentions shift from blogs toward Twitter and, more recently, Reddit. Online community research maintains a similar topic share (10.5% to 10.0%), but governance cues within it increase from 4.0% to 34.3%. Harm-related cues also increase after restricting abstracts to a fixed length. Our review also traces advances in sampling, measurement, and causal and experimental methods. We discuss how AI-mediated interactions complicate these questions and provide a reporting checklist to support research across changing platforms.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 23 of its 72 references that are in the map. First posted on arXiv 20 Sep 2026.

Builds on

23 of 72 references.

References · 23

  1. 2017Automated Hate Speech Detection and the Problem of Offensive Languagecited by 724
  2. 2019Measurement and Fairnesscited by 299
  3. 2020The Pushshift Reddit Datasetcited by 289
  4. 2020Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimatescited by 59
  5. 2021Media Cloud: Massive Open Source Collection of Global News on the Open Webcited by 20
  6. 2013Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehosecited by 15
  7. 2022Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banningcited by 14
  8. 2020Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inferencecited by 13
  9. 2014Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfallscited by 11
  10. 2021Reconsidering Tweets: Intervening During Tweet Creation Decreases Offensive Contentcited by 11
  11. 2019Correcting Sociodemographic Selection Biases for Population Prediction from Social Mediacited by 10
  12. 2021"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twittercited by 10
11 more
  1. 2021Political Polarization in Online News Consumptioncited by 9
  2. 2024Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Normscited by 8
  3. 2023Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Redditcited by 5
  4. 2024Uncovering the Internet's Hidden Values: An Empirical Study of Desirable Behavior Using Highly-Upvoted Content on Redditcited by 4
  5. 2020Variation across Scales: Measurement Fidelity under Twitter Data Samplingcited by 3
  6. 2026The Gray Area: Characterizing Moderator Disagreement on Redditcited by 3
  7. 2019Characterizing Collective Attention via Descriptor Context: A Case Study of Public Discussions of Crisis Eventscited by 2
  8. 2024Characterizing Political Campaigning with Lexical Mutants on Indian Social Mediacited by 2
  9. 2024Cascade-based Randomization for Inferring Causal Effects under Diffusion Interferencecited by 2
  10. 2025Reddit Rules and Rulers: Quantifying the Link Between Rules and Perceptions of Governance across Thousands of Communitiescited by 2
  11. 2024WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research?cited by 1

Built on by

Not cited yet.