All Stories

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