Open Access Policy Deposits
Parent: Department of Informatics
eScholarship stats: Breakdown by Item for March through June, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 8vc3b5f8 | Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions | 1,417 | 402 | 1,015 | 28.4% |
| 2bv79313 | Translating Social Ecological Theory into Guidelines for Community Health Promotion | 1,409 | 770 | 639 | 54.6% |
| 5qn903bc | A Social-Psychological Model of Human Crowding Phenomena | 1,010 | 145 | 865 | 14.4% |
| 3d675082 | Constructing Difference: Lego® Set Narratives Promote Stereotypic Gender Roles and Play | 861 | 133 | 728 | 15.4% |
| 2gf4p9hh | “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI | 838 | 486 | 352 | 58.0% |
| 9nt4d05x | Video Games and Learning | 779 | 211 | 568 | 27.1% |
| 7nz0j5p5 | Cold Culture: Polar Media and the Nazi Occult | 705 | 138 | 567 | 19.6% |
| 6n0926j0 | Psychological and Health Outcomes of Perceived Information Overload | 576 | 130 | 446 | 22.6% |
| 59h2f5hs | Exploring GenAI in Software Development: Insights from a Case Study in a Large Brazilian Company | 569 | 232 | 337 | 40.8% |
| 8gn9r5bg | Establishing and Maintaining Healthy Environments | 508 | 230 | 278 | 45.3% |
| 6k61v37f | Comparing the quality of human and ChatGPT feedback of students’ writing | 472 | 0 | 472 | 0.0% |
| 4rj26150 | Trajectories of childhood social isolation in a nationally representative cohort: Associations with antecedents and early adulthood outcomes | 462 | 326 | 136 | 70.6% |
| 2789d0cd | A classification and comparison framework for software architecture description languages | 442 | 251 | 191 | 56.8% |
| 2ws11480 | On the distinction between density and crowding: Some implications for future research | 441 | 209 | 232 | 47.4% |
| 38k352sp | On meetings involving remote software teams: A systematic literature review | 438 | 141 | 297 | 32.2% |
| 67p057vv | Competing in Book Retailing: The Case of Amazon.com | 429 | 324 | 105 | 75.5% |
| 7544r8x5 | Same benefits, different communication patterns: Comparing Children's reading with a conversational agent vs. a human partner | 407 | 298 | 109 | 73.2% |
| 57z7f4c2 | Mobile apps for mood tracking: an analysis of features and user reviews. | 394 | 246 | 148 | 62.4% |
| 48x7k7j2 | Internet Censorship in China: Examining User Awareness and Attitudes | 386 | 64 | 322 | 16.6% |
| 76c529tr | Reconciling the contrasting narratives on the environmental impact of large language models | 378 | 222 | 156 | 58.7% |
| 3n46d346 | Toward a psychological theory of alienation | 369 | 242 | 127 | 65.6% |
| 4dz427x8 | University students describe how they adopt AI for writing and research in a general education course | 346 | 119 | 227 | 34.4% |
| 4v65m5p8 | The affordances and contradictions of AI-generated text for writers of english as a second or foreign language | 344 | 0 | 344 | 0.0% |
| 2tj4g7sc | Science friction: Data, metadata, and collaboration | 328 | 134 | 194 | 40.9% |
| 1z07j77x | Art and Artificial Life – a Primer | 325 | 88 | 237 | 27.1% |
| 10m3x16k | Objective and Subjective Dimensions Of Travel Impedance as Determinants Of Commuting and Stress | 318 | 144 | 174 | 45.3% |
| 5bp9q190 | Understanding How Personal Activities Are Shared In Short-form Videos | 311 | 250 | 61 | 80.4% |
| 7sv903th | Child-Centered Design in the Digital World: Investigating the Implications of the Age-Appropriate Design Code for Interactive Digital Media | 307 | 121 | 186 | 39.4% |
| 9zm4h7nf | Virtual Inclusion via Telepresence Robots in the Classroom: An Exploratory Case Study | 307 | 107 | 200 | 34.9% |
| 8vc9j23p | Online Discount Brokerages: E*Trade vs. Charles Schwab | 303 | 144 | 159 | 47.5% |
| 8mw4r00m | The Paradox of Environmental Psychology | 302 | 128 | 174 | 42.4% |
| 01d909qs | Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic | 297 | 87 | 210 | 29.3% |
| 8mh6n58m | Survey of Technologies for Web Application Development | 282 | 58 | 224 | 20.6% |
| 124071jg | Unveiling Elite Developers’ Activities in Open Source Projects | 281 | 63 | 218 | 22.4% |
| 8sr499xm | Ecological momentary interventions for depression and anxiety | 277 | 92 | 185 | 33.2% |
| 1kn271xs | Persistence and Fadeout in the Impacts of Child and Adolescent Interventions | 273 | 125 | 148 | 45.8% |
| 8hw707zm | The social amplification and attenuation of COVID-19 risk perception shaping mask wearing behavior: A longitudinal twitter analysis | 273 | 42 | 231 | 15.4% |
| 5sg8b4w5 | The Rainbow Flag and the Green Carnation: Grindr in The Gay Village | 256 | 58 | 198 | 22.7% |
| 20c5s18g | Social Media Use and Depressive Symptoms Among United States Adolescents | 249 | 73 | 176 | 29.3% |
| 69q9m07s | Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention | 246 | 89 | 157 | 36.2% |
| 7ws3n2jw | Migration to Open-Standard Interorganizational Systems: Network Effects, Switching Costs and Path Dependency | 246 | 62 | 184 | 25.2% |
| 6235t25b | Scaffolding learning of language structures with visual‐syntactic text formatting | 244 | 118 | 126 | 48.4% |
| 8mz35921 | DermaVision | 244 | 83 | 161 | 34.0% |
| 1g1345kr | Self-Expression and Sharing around Chronic Illness on TikTok. | 243 | 82 | 161 | 33.7% |
| 43t654rk | The Reach, Effectiveness, Adoption, Implementation, and Maintenance of Digital Mental Health Interventions for College Students: A Systematic Review | 242 | 106 | 136 | 43.8% |
| 13m9x4rp | Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach | 231 | 95 | 136 | 41.1% |
| 1rw6t612 | Dialogue with a conversational agent promotes children’s story comprehension via enhancing engagement | 230 | 96 | 134 | 41.7% |
| 7p07s766 | Translator writing systems | 228 | 86 | 142 | 37.7% |
| 4b14h6j4 | The Pathway to Academic Success: Scaling Up a Text-Based Analytical Writing Intervention for Latinos and English Learners in Secondary School | 225 | 123 | 102 | 54.7% |
| 0nt052sm | Using Large Language Models for sentiment analysis of health-related social media data: empirical evaluation and practical tips. | 224 | 104 | 120 | 46.4% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.