Computers and Society

Papers filed under cs.CY on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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661 to 720 of 1,305

  1. Combating Misinformation in the Age of LLMs: Opportunities and Challenges

    Canyu Chen, Kai Shu

    cs.CYarXiv:2311.05656v12023
  2. Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis

    Mang Tik Chiu, Xingqian Xu, Yunchao Wei +12

    cs.CVcs.CYcs.LGarXiv:2001.01306v22020
  3. Ubiquitous Smart Home System Using Android Application

    Shiu Kumar

    cs.CYeess.SYarXiv:1402.2114v12014
  4. Explore Spatiotemporal and Demographic Characteristics of Human Mobility via Twitter: A Case Study of Chicago

    Feixiong Luo, Guofeng Cao, Kevin Mulligan +1

    cs.SIcs.CYphysics.soc-pharXiv:1508.00188v22015
  5. Trust and Medical AI: The challenges we face and the expertise needed to overcome them

    Thomas P. Quinn, Manisha Senadeera, Stephan Jacobs +2

    cs.AIcs.CYarXiv:2008.07734v12020
  6. Comparing Code Explanations Created by Students and Large Language Models

    Juho Leinonen, Paul Denny, Stephen MacNeil +5

    cs.CYcs.AIcs.CLarXiv:2304.03938v12023
  7. Predictive Multiplicity in Classification

    Charles T. Marx, Flavio du Pin Calmon, Berk Ustun

    cs.LGcs.CYstat.MLarXiv:1909.06677v42019
  8. Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities

    Suchithra Rajendran, Sharan Srinivas

    cs.CYmath.OCarXiv:2103.01768v12021
  9. The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective

    Marco De Nadai, Jacopo Staiano, Roberto Larcher +3

    cs.CYcs.SIphysics.soc-pharXiv:1603.04012v12016
  10. RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter

    Michele Mazza, Stefano Cresci, Marco Avvenuti +2

    cs.SIcs.AIcs.CRarXiv:1902.04506v12019
  11. Data Science: A Comprehensive Overview

    Longbing Cao

    cs.CYarXiv:2007.03606v12020
  12. Social Biases through the Text-to-Image Generation Lens

    Ranjita Naik, Besmira Nushi

    cs.CYcs.AIcs.CLarXiv:2304.06034v12023
  13. "The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning

    Mark Sendak, Madeleine Elish, Michael Gao +6

    cs.CYcs.AIcs.HCarXiv:1911.08089v22019
  14. Large AI Models in Health Informatics: Applications, Challenges, and the Future

    Jianing Qiu, Lin Li, Jiankai Sun +11

    cs.AIcs.CYarXiv:2303.11568v22023
  15. Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

    Sahar Abdelnabi, Mario Fritz

    cs.CRcs.CLcs.CYarXiv:2009.03015v22020
  16. Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing

    Xiangyu Song, Jianxin Li, Qi Lei +3

    cs.LGcs.CYarXiv:2201.09020v12022
  17. Does Writing with Language Models Reduce Content Diversity?

    Vishakh Padmakumar, He He

    cs.CLcs.CYcs.HCarXiv:2309.05196v32023
  18. Human-Data Interaction: The Human Face of the Data-Driven Society

    Richard Mortier, Hamed Haddadi, Tristan Henderson +2

    cs.CYcs.HCcs.SIarXiv:1412.6159v22014
  19. Natural and Effective Obfuscation by Head Inpainting

    Qianru Sun, Liqian Ma, Seong Joon Oh +3

    cs.CVcs.CRcs.CYarXiv:1711.09001v52017
  20. Ethical Decision Making During Automated Vehicle Crashes

    Noah Goodall

    cs.CYarXiv:2010.16309v12020
  21. Understanding the Origins of Bias in Word Embeddings

    Marc-Etienne Brunet, Colleen Alkalay-Houlihan, Ashton Anderson +1

    cs.LGcs.CYstat.MLarXiv:1810.03611v22018
  22. Conversations Gone Awry: Detecting Early Signs of Conversational Failure

    Justine Zhang, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil +4

    cs.CLcs.AIcs.CYarXiv:1805.05345v12018
  23. Human-Centred Learning Analytics and AI in Education: a Systematic Literature Review

    Riordan Alfredo, Vanessa Echeverria, Yueqiao Jin +4

    cs.CYcs.AIcs.HCarXiv:2312.12751v12023
  24. MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation

    Lex Fridman, Daniel E. Brown, Michael Glazer +15

    cs.CYcs.CVcs.HCarXiv:1711.06976v42017
  25. Quantifying the Persona Effect in LLM Simulations

    Tiancheng Hu, Nigel Collier

    cs.CLcs.CYarXiv:2402.10811v22024
  26. The Majority Illusion in Social Networks

    Kristina Lerman, Xiaoran Yan, Xin-Zeng Wu

    cs.SIcs.CYphysics.soc-pharXiv:1506.03022v12015
  27. Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark

    Alexander Pan, Jun Shern Chan, Andy Zou +7

    cs.LGcs.AIcs.CLarXiv:2304.03279v42023
  28. 140 Characters to Victory?: Using Twitter to Predict the UK 2015 General Election

    Pete Burnap, Rachel Gibson, Luke Sloan +2

    cs.CYcs.SIphysics.soc-pharXiv:1505.01511v12015
  29. A Survey of Smart Data Pricing: Past Proposals, Current Plans, and Future Trends

    Soumya Sen, Carlee Joe-Wong, Sangtae Ha +1

    cs.NIcs.CYarXiv:1201.4197v42012
  30. A Review on Internet of Things for Defense and Public Safety

    Paula Fraga-Lamas, Tiago M. Fernández-Caramés, Manuel Suárez-Albela +2

    eess.SYcs.CRcs.CYarXiv:2402.03599v12024
  31. A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores

    Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova

    cs.CYarXiv:2002.08035v22020
  32. Which Rules Matter Now? Policy-Centroid Routing Before an Intelligent System Acts

    Thomson D. Nguy

    cs.AIcs.CYarXiv:2608.30757v12026
  33. The Effects of Twitter Sentiment on Stock Price Returns

    Gabriele Ranco, Darko Aleksovski, Guido Caldarelli +2

    cs.CYcs.SIarXiv:1506.02431v22015
  34. Opening the black box of energy modelling: Strategies and lessons learned

    Stefan Pfenninger, Lion Hirth, Ingmar Schlecht +21

    cs.CYcs.GLarXiv:1707.08164v22017
  35. Bias and Discrimination in AI: a cross-disciplinary perspective

    Xavier Ferrer, Tom van Nuenen, Jose M. Such +2

    cs.CYcs.LGarXiv:2008.07309v12020
  36. How Does LGBTQIA+ Identity Affect LLM Behavior? Implications for Requirements Engineering of Mental Health AI Systems

    Shailyn Callihoo, Karman Singh, Navreet Dhillon +3

    cs.CYarXiv:2609.00352v12026
  37. The Pragmatic Turn in Explainable Artificial Intelligence (XAI)

    Andrés Páez

    cs.AIcs.CYcs.HCarXiv:2002.09595v12020
  38. Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning

    Megha Srivastava, Hoda Heidari, Andreas Krause

    cs.CYarXiv:1902.04783v42019
  39. Corporate Loyalty: Some AI Systems Differentially Downplay their Creators' Controversies

    Lennart Finke, Stephen Casper

    cs.CYarXiv:2609.00373v12026
  40. Toward a social psychology of AI: language-model agents reproduce human-like minimal-group bias

    Messi H. J. Lee

    physics.soc-phcs.CYarXiv:2609.00009v12026
  41. Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

    Yiting Qu, Xinyue Shen, Xinlei He +3

    cs.CVcs.CRcs.CYarXiv:2305.13873v22023
  42. Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration

    Slava Jankin Mikhaylov, Marc Esteve, Averill Campion

    cs.AIcs.CYarXiv:1809.04399v12018
  43. Time Critical Social Mobilization: The DARPA Network Challenge Winning Strategy

    Galen Pickard, Iyad Rahwan, Wei Pan +4

    cs.CYarXiv:1008.3172v12010
  44. Demographic Inference and Representative Population Estimates from Multilingual Social Media Data

    Zijian Wang, Scott A. Hale, David Adelani +4

    cs.CYcs.CLcs.CVarXiv:1905.05961v12019
  45. Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

    Shaoxiong Ji, Shirui Pan, Xue Li +3

    cs.CYcs.AIcs.CLarXiv:1910.12611v42019
  46. Why do People Share Misinformation during the COVID-19 Pandemic?

    Samuli Laato, A. K. M. Najmul Islam, Muhammad Nazrul Islam +1

    cs.CYarXiv:2004.09600v12020
  47. Internet of Things for Current COVID-19 and Future Pandemics: An Exploratory Study

    Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi +3

    cs.CYarXiv:2007.11147v22020
  48. Can AI-Assisted Inquiry Enhance Students' Decision-Making Skills in Socio-Scientific Issues? A Three-Group Experimental Study on Climate Change

    Dimitrios Gousopoulos

    cs.CYphysics.soc-pharXiv:2608.28617v12026
  49. Wearable Assistive Devices for the Blind

    Ramiro Velazquez

    cs.ROcs.CYarXiv:1611.09480v12016
  50. A Voting-Based System for Ethical Decision Making

    Ritesh Noothigattu, Snehalkumar 'Neil' S. Gaikwad, Edmond Awad +4

    cs.AIcs.CYcs.GTarXiv:1709.06692v22017
  51. Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

    Lu Cheng, Kush R. Varshney, Huan Liu

    cs.CYcs.AIarXiv:2101.02032v52021
  52. An Intersectional Definition of Fairness

    James Foulds, Rashidul Islam, Kamrun Naher Keya +1

    cs.LGcs.CYstat.MLarXiv:1807.08362v32018
  53. Advisor career stage and PhD advisee outcomes

    Xi Hong, Jialin Liu, Chaoqun Ni

    cs.CYcs.DLarXiv:2608.28616v12026
  54. Open Collaboration for Innovation: Principles and Performance

    Sheen Levine, Michael Prietula

    cs.CYarXiv:1406.7541v12014
  55. Promises and Challenges of Ambient Assisted Living Systems

    Hong Sun, Vincenzo De Florio, Ning Gui +1

    cs.CYarXiv:1507.05765v12015
  56. Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes

    Muhammad Ali, Piotr Sapiezynski, Miranda Bogen +3

    cs.CYarXiv:1904.02095v52019
  57. Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits

    Andrey Bogomolov, Bruno Lepri, Michela Ferron +3

    cs.CYcs.LGphysics.data-anarXiv:1410.5816v12014
  58. Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media

    Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias +4

    cs.SIcs.CYcs.HCarXiv:1704.01347v12017
  59. What happens when software developers are (un)happy

    Daniel Graziotin, Fabian Fagerholm, Xiaofeng Wang +1

    cs.SEcs.CYarXiv:1707.00432v32017
  60. Principles alone cannot guarantee ethical AI

    Brent Mittelstadt

    cs.CYcs.AIarXiv:1906.06668v22019