All Stories

  1. AI feedback enhances community-based content moderation through engagement with counterarguments
  2. Visual Anthropomorphism Shifts Evaluations of Gendered AI Managers
  3. What they don’t tell you about conspiracy theories: genius-driven science and informal science communication predict susceptibility to conspiracy beliefs
  4. Selective divergence between Grokipedia and Wikipedia articles
  5. Gender bias in perception of human managers extends to AI managers
  6. Visual Anthropomorphism Shifts Evaluations of Gendered AI Managers
  7. Visual Anthropomorphism Shifts Evaluations of Gendered AI Managers
  8. How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
  9. Gender Dynamics and Homophily in a Social Network of LLM Agents
  10. Computational sociology of humans and machines: conflict and collaboration
  11. My personal and our collective journey in computational social science
  12. Handbook of Computational Social Science
  13. How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
  14. How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
  15. How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
  16. AI’s assigned gender affects human-AI cooperation
  17. How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
  18. Female Managers Are Judged More Harshly Even When They Are AI
  19. Conspiracy Theories as Culturally Evolved Epistemologies: A Perspective for the Age of AI
  20. The Memory Machine
  21. What They Don't Tell You About Conspiracy Theories: Genius-Driven Science and Informal Science Communication Predict Susceptibility to Conspiracy Beliefs
  22. What They Don't Tell You About Conspiracy Theories: Genius-Driven Science and Editor-Free Preference Predict Susceptibility to Conspiracy Beliefs
  23. What They Don't Tell You About Conspiracy Theories: Genius-Driven Science and Informal Science Communication Predict Susceptibility to Conspiracy Beliefs
  24. AI-enhanced collective intelligence
  25. From Black squares to White guilt: The influence of Black Lives Matter on non-Indigenous views of the Voice to Parliament referendum in Australia
  26. A new sociology of humans and machines
  27. How large language models can reshape collective intelligence
  28. Negative social tipping dynamics resulting from and reinforcing Earth system destabilization
  29. Individual differences in knowledge network navigation
  30. Using word embeddings to analyse audience effects and individual differences in parenting Subreddits
  31. Negative Social Tipping Dynamics Resulting from and Reinforcing Earth System Destabilisation
  32. Why Social Media Falls Short While Wikipedia Thrives
  33. From Print to Pixels: The Changing Landscape of the Public Sphere in the Digital Age
  34. Terrorist attacks sharpen the binary perception of “Us” vs. “Them”
  35. Between news and history: identifying networked topics of collective attention on Wikipedia
  36. The cost of coordination can exceed the benefit of collaboration in performing complex tasks
  37. Individual differences in knowledge network navigation
  38. Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics
  39. From Print to Pixels: The Changing Landscape of the Public Sphere in the Digital Age
  40. What drives passion? An empirical examination on the impact of personality trait interactions and job environments on work passion
  41. Fooled by facts: quantifying anchoring bias through a large-scale experiment
  42. Collective memory in the digital age
  43. Football is becoming more predictable; network analysis of 88 thousand matches in 11 major leagues
  44. Controversy around climate change reports: a case study of Twitter responses to the 2019 IPCC report on land
  45. Computational courtship understanding the evolution of online dating through large-scale data analysis
  46. Gender Imbalance and Spatiotemporal Patterns of Contributions to Citizen Science Projects: The Case of Zooniverse
  47. Dissent and rebellion in the House of Commons: a social network analysis of Brexit-related divisions in the 57th Parliament
  48. Selling sex: what determines rates and popularity? An analysis of 11,500 online profiles
  49. The Kaleidoscope of Privacy: Differences across French, German, UK, and US GDPR Media Discourse
  50. Islamophobes are not all the same! A study of far right actors on Twitter
  51. Positive algorithmic bias cannot stop fragmentation in homophilic networks
  52. What, when and where of petitions submitted to the UK government during a time of chaos
  53. Social complex contagion in music listenership: A natural experiment with 1.3 million participants
  54. Detecting weak and strong Islamophobic hate speech on social media
  55. Selling sex: what determines rates and popularity?\\ An analysis of 11.5 thousand online profiles
  56. Emergence of world-stock-market network
  57. Social capital predicts corruption risk in towns
  58. Topic Modeling of Everyday Sexism Project Entries
  59. Emo, love and god: making sense of Urban Dictionary, a crowd-sourced online dictionary
  60. How digital design shapes political participation: A natural experiment with social information
  61. Understanding Human-Machine Networks
  62. Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation
  63. Rapid rise and decay in petition signing
  64. Characterization of the anisotropy of rough surfaces: Crossing statistics
  65. Two Diverging Roads: A Semantic Network Analysis of Chinese Social Connection (“Guanxi”) on Twitter
  66. The memory remains: Understanding collective memory in the digital age
  67. Understanding and coping with extremism in an online collaborative environment: A data-driven modeling
  68. Even good bots fight: The case of Wikipedia
  69. Social Informatics
  70. Dynamics of Disagreement: Large-Scale Temporal Network Analysis Reveals Negative Interactions in Online Collaboration
  71. Some lives matter more
  72. UNDERSTANDING COMMUNICATION PATTERNS IN MOOCs
  73. Editorial: At the Crossroads: Lessons and Challenges in Computational Social Science
  74. A Biased Review of Biases in Twitter Studies on Political Collective Action
  75. Wikipedia traffic data and electoral prediction: towards theoretically informed models
  76. P-Values: Misunderstood and Misused
  77. Political Turbulence
  78. Human-Machine Networks: Towards a Typology and Profiling Framework
  79. Political Turbulence
  80. Can electoral popularity be predicted using socially generated big data?
  81. Modeling social dynamics in a collaborative environment
  82. Structural limitations of learning in a crowd: communication vulnerability and information diffusion in MOOCs
  83. Mapping the UK webspace
  84. Big Data and Collective Action
  85. The distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academics
  86. Vote Me Up If You Like My Ideas!! Experiences of Learning in a MOOC
  87. Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data
  88. Temporal analysis of activity patterns of editors in collaborative mapping project of OpenStreetMap
  89. Petition growth and success rates on the UK No. 10 Downing Street website
  90. Value Production in a Collaborative Environment
  91. Opinions, Conflicts, and Consensus: Modeling Social Dynamics in a Collaborative Environment
  92. The Most Controversial Topics in Wikipedia: A Multilingual and Geographical Analysis
  93. - Nanostructures on Thin Films by keV Ion Beams
  94. Nanofabrication by Ion-Beam Sputtering
  95. A Practical Approach to Language Complexity: A Wikipedia Case Study
  96. Dynamics of Conflicts in Wikipedia
  97. Circadian Patterns of Wikipedia Editorial Activity: A Demographic Analysis
  98. Edit Wars in Wikipedia
  99. A Monte Carlo study of surface sputtering by dual and rotated ion beams
  100. Simulating discrete models of pattern formation by ion beam sputtering
  101. Surfactant Sputtering: Theory of a new method of surface nanostructuring by ion beams
  102. The influence of beam divergence on ion-beam induced surface patterns