{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T06:06:45Z","timestamp":1775023605153,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":74,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["R01HL169601"],"award-info":[{"award-number":["R01HL169601"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2302701"],"award-info":[{"award-number":["2302701"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Stanford University Department of Pediatrics"},{"DOI":"10.13039\/100015521","name":"Stanford Maternal and Child Health Research Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015521","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020670","name":"Stanford Institute for Human-Centered Artificial Intelligence, Stanford University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100020670","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Stanford Graduate Interdisciplinary Fellowship"},{"name":"Precision Health and Integrated Diagnostics (PHIND) Center at Stanford"},{"name":"Stanford RISE COVID-19 Crisis Response Faculty Seed Grant"},{"name":"MediaX at Stanford"},{"name":"McCoy Family Center for Ethics in Society, Ethics, Society and Technology Hub"},{"name":"Stanford Graduate School of Education Transforming Learning Accelerator"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,26]]},"DOI":"10.1145\/3706599.3720055","type":"proceedings-article","created":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T20:15:12Z","timestamp":1745439312000},"page":"1-13","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0560-4378","authenticated-orcid":false,"given":"Merve","family":"Cerit","sequence":"first","affiliation":[{"name":"Graduate School of Education, Stanford University, Stanford, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7368-0460","authenticated-orcid":false,"given":"Eric","family":"Zelikman","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5500-6336","authenticated-orcid":false,"given":"Mu-Jung","family":"Cho","sequence":"additional","affiliation":[{"name":"Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2367-0774","authenticated-orcid":false,"given":"Thomas N.","family":"Robinson","sequence":"additional","affiliation":[{"name":"Departments of Pediatrics and Medicine, Stanford University, Stanford, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1546-8397","authenticated-orcid":false,"given":"Byron","family":"Reeves","sequence":"additional","affiliation":[{"name":"Department of Communication, Stanford University, Stanford, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1671-5257","authenticated-orcid":false,"given":"Nilam","family":"Ram","sequence":"additional","affiliation":[{"name":"Department of Communication, Stanford University, Stanford, California, USA"},{"name":"Department of Psychology, Stanford University, Stanford, California, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8804-7804","authenticated-orcid":false,"given":"Nick","family":"Haber","sequence":"additional","affiliation":[{"name":"Graduate School of Education, Stanford, Stanford, California, USA"},{"name":"Department of Computer Science, Stanford University, Stanford, California, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"e_1_3_3_1_1_2","doi-asserted-by":"publisher","DOI":"10.4135\/9781452270043"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1037\/ppm0000523"},{"key":"e_1_3_3_1_3_2","unstructured":"E. K. Bozzelli. 2008. Subjective Definitions of Substance Abuse Problems: Does Age Matter? Retrieved from https:\/\/rave.ohiolink.edu\/etdc\/view?acc_num=miami1220005252"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","unstructured":"Miriam Brinberg Nilam Ram Xiao Yang Mu-Jung Cho S. Shyam Sundar Thomas N. Robinson and Byron Reeves. 2021. The idiosyncrasies of everyday digital lives: Using the Human Screenome Project to study user behavior on smartphones. Computers in human behavior 114. 10.1016\/j.chb.2020.106570","DOI":"10.1016\/j.chb.2020.106570"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Ricardo J. G. B. Campello Davoud Moulavi Arthur Zimek and J\u00f6rg Sander. 2015. Hierarchical density estimates for data clustering visualization and outlier detection. ACM transactions on knowledge discovery from data 10 1: 1\u201351. 10.1145\/2733381","DOI":"10.1145\/2733381"},{"key":"e_1_3_3_1_6_2","unstructured":"Dongping Chen Yue Huang Siyuan Wu Jingyu Tang Liuyi Chen Yilin Bai Zhigang He Chenlong Wang Huichi Zhou Yiqiang Li Tianshuo Zhou Yue Yu Chujie Gao Qihui Zhang Yi Gui Zhen Li Yao Wan Pan Zhou Jianfeng Gao and Lichao Sun. 2024. GUI-WORLD: A dataset for GUI-oriented multimodal LLM-based agents. arXiv [cs.CV]. Retrieved from http:\/\/arxiv.org\/abs\/2406.10819"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3167132.3167236"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3148011.3154468"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2023.e22816"},{"key":"e_1_3_3_1_10_2","unstructured":"Justin Cornelius and Daniel Muise. 2025. Screenlake Research Kit maintained by the Accelerator at Princeton University [Software]. Retrieved from https:\/\/github.com\/Screenlake\/screenlake-research-kit"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","unstructured":"Bruce N. Cuthbert. 2022. Research Domain Criteria (RDoC): Progress and Potential. Current directions in psychological science 31 2: 107\u2013114. 10.1177\/09637214211051363","DOI":"10.1177\/09637214211051363"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/bibm62325.2024.10821785"},{"key":"e_1_3_3_1_13_2","volume-title":"Interactive visualization: Insight through inquiry","author":"Ferster Bill","unstructured":"Bill Ferster. 2023. Interactive visualization: Insight through inquiry. MIT Press, London, England."},{"key":"e_1_3_3_1_14_2","volume-title":"What is it like to be an addict?: Understanding substance abuse","author":"Flanagan O.","unstructured":"O. Flanagan. 2025. What is it like to be an addict?: Understanding substance abuse. Oxford University Press, London, England. Retrieved from https:\/\/books.google.com\/books?hl=en&lr=&id=UREwEQAAQBAJ&oi=fnd&pg=PP1&dq=how+do+you+define+substance+abuse&ots=xvc9K6q-uB&sig=j3tajAN6-x-fOcb5MA6cLEdCVNk"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-neuro-101220-014053"},{"key":"e_1_3_3_1_16_2","unstructured":"Maarten Grootendorst. 2022. BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv [cs.CL]. Retrieved from http:\/\/arxiv.org\/abs\/2203.05794"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1561\/1500000033"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4053961"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/infvis.2005.1532126"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1080\/23808985.2020.1839939"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","unstructured":"Thomas R. Insel. 2018. Digital phenotyping: a global tool for psychiatry. World psychiatry: official journal of the World Psychiatric Association (WPA) 17 3: 276\u2013277. 10.1002\/wps.20550","DOI":"10.1002\/wps.20550"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","unstructured":"R. Jacobucci B. Ammerman and Nilam Ram. 2024. Examining passively collected smartphone-based data in the days prior to psychiatric hospitalization for a suicidal crisis: Comparative case analysis. JMIR formative research 8. 10.2196\/55999","DOI":"10.2196\/55999"},{"key":"e_1_3_3_1_23_2","volume-title":"Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. ACM","author":"Pater J, A.","unstructured":"J, A. Pater, Oliver Haimson, Nazanin Andalibi, and Elizabeth D. Mynatt. 2016. Characterizing the Presentation of Eating Disorders Online. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. ACM, San Francisco, CA USA, 1185\u20131200."},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","unstructured":"Linda K Kaye Amy Orben David A Ellis Simon C Hunter and Stephen Houghton. 2020. The conceptual and methodological mayhem of \u201cscreen time.\u201d International journal of environmental research and public health 17 10: 3661. 10.3390\/ijerph17103661","DOI":"10.3390\/ijerph17103661"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","unstructured":"Loran Knol Anisha Nagpal Imogen E. Leaning Elena Idda Faraz Hussain Emma Ning Tory A. Eisenlohr-Moul Christian F. Beckmann Andre F. Marquand and Alex Leow. 2024. Smartphone keyboard dynamics predict affect in suicidal ideation. npj digital medicine 7 1: 54. 10.1038\/s41746-024-01048-1","DOI":"10.1038\/s41746-024-01048-1"},{"key":"e_1_3_3_1_26_2","volume-title":"Po-Yu Huang","author":"Koh Jing Yu","year":"2024","unstructured":"Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, and Daniel Fried. 2024. VisualWebArena: Evaluating multimodal agents on realistic visual web tasks. arXiv [cs.LG]. Retrieved from http:\/\/arxiv.org\/abs\/2401.13649"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1320040111"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.4324\/9781003035244-12"},{"key":"e_1_3_3_1_29_2","volume-title":"Content analysis: An introduction to its methodology","author":"Krippendorff Klaus","unstructured":"Klaus Krippendorff. 2018. Content analysis: An introduction to its methodology. SAGE Publications, Thousand Oaks, CA."},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1080\/1369118X.2022.2109982"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.brat.2023.104382"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","unstructured":"Alex Leow Jonathan Stange John Zulueta Olusola Ajilore Faraz Hussain Andrea Piscitello Kelly Ryan Jennifer Duffecy Scott Langenecker Peter Nelson and Melvin McInnis. 2019. 247. BiAffect: Passive monitoring of psychomotor activity in mood disorders using mobile keystroke kinematics. Biological psychiatry 85 10: S102\u2013S103. 10.1016\/j.biopsych.2019.03.261","DOI":"10.1016\/j.biopsych.2019.03.261"},{"key":"e_1_3_3_1_33_2","unstructured":"Bo Li Yuanhan Zhang Dong Guo Renrui Zhang Feng Li Hao Zhang Kaichen Zhang Yanwei Li Ziwei Liu and Chunyuan Li. 2024. LLaVA-OneVision: Easy Visual Task Transfer. arXiv [cs.CV]. Retrieved from http:\/\/arxiv.org\/abs\/2408.03326"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","unstructured":"Chunyuan Li Cliff Wong Sheng Zhang Naoto Usuyama Haotian Liu Jianwei Yang Tristan Naumann Hoifung Poon and Jianfeng Gao. 2023. LLaVA-Med: Training a Large Language-and-Vision Assistant for BioMedicine in one day. Neural Information Processing Systems abs\/2306.00890: 28541\u201328564. 10.48550\/arXiv.2306.00890","DOI":"10.48550\/arXiv.2306.00890"},{"key":"e_1_3_3_1_35_2","unstructured":"Haotian Liu Chunyuan Li Yuheng Li and Yong Jae Lee. 2023. Improved baselines with visual instruction tuning. arXiv [cs.CV]. Retrieved from http:\/\/arxiv.org\/abs\/2310.03744"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.2196\/19118"},{"key":"e_1_3_3_1_37_2","unstructured":"Zehan Li Xin Zhang Yanzhao Zhang Dingkun Long Pengjun Xie and Meishan Zhang. 2023. Towards general text embeddings with multi-stage contrastive learning. arXiv [cs.CL]. Retrieved from http:\/\/arxiv.org\/abs\/2308.03281"},{"key":"e_1_3_3_1_38_2","unstructured":"Leland McInnes. 2024. DataMapPlot. Github. Retrieved from https:\/\/github.com\/TutteInstitute\/datamapplot"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"publisher","DOI":"10.21105\/JOSS.00205"},{"key":"e_1_3_3_1_40_2","volume-title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. arXiv [stat.ML].","author":"McInnes Leland","year":"2018","unstructured":"Leland McInnes, John Healy, and James Melville. 2018. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. arXiv [stat.ML]. Retrieved from http:\/\/arxiv.org\/abs\/1802.03426"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","unstructured":"Giorgia Michelini Isabella M. Palumbo Colin G. DeYoung Robert D. Latzman and Roman Kotov. 2021. Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience. Clinical psychology review 86 102025: 102025. 10.1016\/j.cpr.2021.102025","DOI":"10.1016\/j.cpr.2021.102025"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"publisher","unstructured":"Elizabeth M. Morgan Chareen Snelson and Patt Elison-Bowers. 2010. Image and video disclosure of substance use on social media websites. Computers in human behavior 26 6: 1405\u20131411. 10.1016\/j.chb.2010.04.017","DOI":"10.1016\/j.chb.2010.04.017"},{"key":"e_1_3_3_1_43_2","volume-title":"MTEB: Massive Text Embedding Benchmark. arXiv [cs.CL].","author":"Muennighoff Niklas","year":"2022","unstructured":"Niklas Muennighoff, Nouamane Tazi, Lo\u00efc Magne, and Nils Reimers. 2022. MTEB: Massive Text Embedding Benchmark. arXiv [cs.CL]. Retrieved from http:\/\/arxiv.org\/abs\/2210.07316"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"publisher","unstructured":"Hongyan Mu Jianzhou Chen Wenjie Huang Gui Huang Meiying Deng Shimiao Hong Peng Ai Chuan Gao and Huangkai Zhou. 2024. OmicShare tools: A zero-code interactive online platform for biological data analysis and visualization. iMeta 3 5: e228. 10.1002\/imt2.228","DOI":"10.1002\/imt2.228"},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"crossref","unstructured":"Kay L. O'Halloran. 2011. Multimodal discourse analysis. The Bloomsbury handbook of discourse analysis: 249\u2013282. Retrieved from https:\/\/www.torrossa.com\/gs\/resourceProxy?an=5213037&publisher=FZ0661#page=266","DOI":"10.5040\/9781350156111.ch-018"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"publisher","unstructured":"Kay L. O'Halloran Gautam Pal and Minhao Jin. 2021. Multimodal approach to analysing big social and news media data. Discourse Context & Media 40 100467: 100467. 10.1016\/j.dcm.2021.100467","DOI":"10.1016\/j.dcm.2021.100467"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"publisher","unstructured":"Amy Orben Adrian Meier Tim Dalgleish and Sarah-Jayne Blakemore. 2024. Mechanisms linking social media use to adolescent mental health vulnerability. Nature reviews psychology 3 6: 407\u2013423. 10.1038\/s44159-024-00307-y","DOI":"10.1038\/s44159-024-00307-y"},{"key":"e_1_3_3_1_48_2","doi-asserted-by":"publisher","DOI":"10.5860\/choice.31-1648"},{"key":"e_1_3_3_1_49_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300881"},{"key":"e_1_3_3_1_50_2","doi-asserted-by":"publisher","DOI":"10.1002\/pro.3943"},{"key":"e_1_3_3_1_51_2","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume":"139","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong Wook Kim, Chris Hallacy, A. Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and I. Sutskever. 2021. Learning transferable visual models from natural language supervision. International Conference on Machine Learning 139: 8748\u20138763. Retrieved from http:\/\/proceedings.mlr.press\/v139\/radford21a","journal-title":"International Conference on Machine Learning"},{"key":"e_1_3_3_1_52_2","doi-asserted-by":"publisher","DOI":"10.1177\/0743558419883362"},{"key":"e_1_3_3_1_53_2","doi-asserted-by":"publisher","DOI":"10.1080\/07370024.2019.1578652"},{"key":"e_1_3_3_1_54_2","doi-asserted-by":"publisher","unstructured":"Byron Reeves Thomas Robinson and Nilam Ram. 2020. Time for the Human Screenome Project. Nature 577 7790: 314\u2013317. 10.1038\/d41586-020-00032-5","DOI":"10.1038\/d41586-020-00032-5"},{"key":"e_1_3_3_1_55_2","doi-asserted-by":"publisher","DOI":"10.1080\/15213269.2015.1030083"},{"key":"e_1_3_3_1_56_2","doi-asserted-by":"publisher","unstructured":"Ralf Schm\u00e4lzle and Richard Huskey. 2023. Integrating media content analysis reception analysis and media effects studies. Frontiers in neuroscience 17: 1155750. 10.3389\/fnins.2023.1155750","DOI":"10.3389\/fnins.2023.1155750"},{"key":"e_1_3_3_1_57_2","doi-asserted-by":"publisher","DOI":"10.1177\/1470357219864133"},{"key":"e_1_3_3_1_58_2","unstructured":"Siddhant Bikram Shah Shuvam Shiwakoti Maheep Chaudhary and Haohan Wang. 2024. MemeCLIP: Leveraging CLIP representations for multimodal meme classification. arXiv [cs.LG]. Retrieved from http:\/\/arxiv.org\/abs\/2409.14703"},{"key":"e_1_3_3_1_59_2","doi-asserted-by":"publisher","unstructured":"Ben Shneiderman. 2000. Creating creativity: user interfaces for supporting innovation. ACM transactions on computer-human interaction: a publication of the Association for Computing Machinery 7 1: 114\u2013138. 10.1145\/344949.345077","DOI":"10.1145\/344949.345077"},{"key":"e_1_3_3_1_60_2","doi-asserted-by":"publisher","DOI":"10.1145\/1323688.1323689"},{"key":"e_1_3_3_1_61_2","unstructured":"B. Shneiderman and C. Plaisant. 2010. Designing the user interface: strategies for effective human-computer interaction. Retrieved from https:\/\/www.academia.edu\/download\/41860700\/UE-_Notes_7th_Feb_2015.pdf"},{"key":"e_1_3_3_1_62_2","doi-asserted-by":"publisher","DOI":"10.1145\/3648470"},{"key":"e_1_3_3_1_63_2","unstructured":"Snowflake Inc. 2019. Streamlit - Open-source app framework for Machine Learning and Data Science projects. Retrieved from https:\/\/streamlit.io"},{"key":"e_1_3_3_1_64_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642347"},{"key":"e_1_3_3_1_65_2","doi-asserted-by":"publisher","DOI":"10.1037\/ppm0000468"},{"key":"e_1_3_3_1_66_2","unstructured":"Shengbang Tong Zhuang Liu Yuexiang Zhai Yi Ma Yann LeCun and Saining Xie. 2024. Eyes wide shut? Exploring the visual shortcomings of multimodal LLMs. arXiv [cs.CV]. Retrieved from http:\/\/arxiv.org\/abs\/2401.06209"},{"key":"e_1_3_3_1_67_2","unstructured":"Hugo Touvron Louis Martin Kevin Stone Peter Albert Amjad Almahairi Yasmine Babaei Nikolay Bashlykov Soumya Batra Prajjwal Bhargava Shruti Bhosale Dan Bikel Lukas Blecher Cristian Canton Ferrer Moya Chen Guillem Cucurull David Esiobu Jude Fernandes Jeremy Fu Wenyin Fu Brian Fuller Cynthia Gao Vedanuj Goswami Naman Goyal Anthony Hartshorn Saghar Hosseini Rui Hou Hakan Inan Marcin Kardas Viktor Kerkez Madian Khabsa Isabel Kloumann Artem Korenev Punit Singh Koura Marie-Anne Lachaux Thibaut Lavril Jenya Lee Diana Liskovich Yinghai Lu Yuning Mao Xavier Martinet Todor Mihaylov Pushkar Mishra Igor Molybog Yixin Nie Andrew Poulton Jeremy Reizenstein Rashi Rungta Kalyan Saladi Alan Schelten Ruan Silva Eric Michael Smith Ranjan Subramanian Xiaoqing Ellen Tan Binh Tang Ross Taylor Adina Williams Jian Xiang Kuan Puxin Xu Zheng Yan Iliyan Zarov Yuchen Zhang Angela Fan Melanie Kambadur Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov and Thomas Scialom. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv [cs.CL]. Retrieved from http:\/\/arxiv.org\/abs\/2307.09288"},{"key":"e_1_3_3_1_68_2","doi-asserted-by":"publisher","DOI":"10.1037\/ppm0000203"},{"key":"e_1_3_3_1_69_2","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocaa057"},{"key":"e_1_3_3_1_70_2","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-022-02006-z"},{"key":"e_1_3_3_1_71_2","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1978984"},{"key":"e_1_3_3_1_72_2","unstructured":"Umut Yildirim Rohan Dutta Burak Yildirim and Atharva Vaidya. 2024. Experimentation in Content Moderation using RWKV. arXiv [cs.CL]. Retrieved from http:\/\/arxiv.org\/abs\/2409.03939"},{"key":"e_1_3_3_1_73_2","unstructured":"Shukang Yin Chaoyou Fu Sirui Zhao Ke Li Xing Sun Tong Xu and Enhong Chen. 2023. A survey on multimodal Large Language Models. arXiv [cs.CV]. Retrieved from http:\/\/arxiv.org\/abs\/2306.13549"},{"key":"e_1_3_3_1_74_2","doi-asserted-by":"publisher","unstructured":"Lin Yue Weitong Chen Xue Li Wanli Zuo and Minghao Yin. 2019. A survey of sentiment analysis in social media. Knowledge and information systems 60 2: 617\u2013663. 10.1007\/s10115-018-1236-4","DOI":"10.1007\/s10115-018-1236-4"}],"event":{"name":"CHI EA '25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","location":"Yokohama Japan","acronym":"CHI EA '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3720055","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3706599.3720055","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706599.3720055","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706599.3720055","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:47Z","timestamp":1750295927000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3720055"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,25]]},"references-count":74,"alternative-id":["10.1145\/3706599.3720055","10.1145\/3706599"],"URL":"https:\/\/doi.org\/10.1145\/3706599.3720055","relation":{},"subject":[],"published":{"date-parts":[[2025,4,25]]},"assertion":[{"value":"2025-04-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}