---
title: "Social Psychology — papers, page 2"
description: "Social Psychology: 129 papers of the Elamur Research library · page 2 of 3 · 26–125, the most cited first — our summary of each, its ideas, references…"
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---
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# 💭 Social Psychology

129 papers · page 2 of 3 · 26–125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Social Psychology is a subfield of Psychology in the OpenAlex classification of science. The topics most of its papers here are on: «Mental Health via Writing», «Humor Studies and Applications», «Social Robot Interaction and HRI».

## Papers

[← prev](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) [1](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) **2** [3](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/page/3/) [next →](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/page/3/)

26. [**Emotion Intensities in Tweets**Saif Mohammad, Felipe Bravo-Marquez*2017 · 290 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2017-emotion-intensities-tweets/)
27. [**Lexical Influences on the Perception of Sarcasm**Roger Kreuz, Gina Caucci*2007 · 278 citations*](https://md.research.elamur.ai/free/en/papers/kreuz-2007-lexical-influences-perception-sarcasm/)
28. [**SemEval-2007 Task 14: Affective Text**Carlo Strapparava, Rada Mihalcea*2007 · 277 citations*](https://md.research.elamur.ai/free/en/papers/strapparava-2007-semeval-2007-task-14-affective/)
29. [**Humor Recognition and Humor Anchor Extraction**Diyi Yang, Alon Lavie, Chris Dyer, et al.*2015 · 264 citations*](https://md.research.elamur.ai/free/en/papers/yang-2015-humor-recognition-humor-anchor-extraction/)
30. [**A Large Self-Annotated Corpus for Sarcasm**Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli*2018 · 258 citations*](https://md.research.elamur.ai/free/en/papers/khodak-2018-large-self-annotated-corpus-sarcasm/)
31. [**CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts**Ayah Zirikly, Philip Resnik, Özlem Uzuner, et al.*2019 · 248 citations*](https://md.research.elamur.ai/free/en/papers/zirikly-2019-clpsych-2019-shared-task-predicting/)
32. [**Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies**Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al.*2021 · 228 citations*](https://md.research.elamur.ai/free/en/papers/dev-2021-harms-gender-exclusivity-challenges-non/)
33. [**MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets**Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, et al.*2021 · 212 citations*](https://md.research.elamur.ai/free/en/papers/pramanick-2021-momenta-multimodal-framework-detecting-harmful/)
34. [**HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion**Bharathi Raja Chakravarthi*2020 · 211 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-hopeedi-multilingual-hope-speech-detection/)
35. [**Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts**Luke Breitfeller, Emily Ahn, David Jurgens, et al.*2019 · 188 citations*](https://md.research.elamur.ai/free/en/papers/breitfeller-2019-finding-microaggressions-wild-case-locating/)
36. [**Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection**Hongliang Pan, Zheng Lin, Peng Fu, et al.*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/pan-2020-modeling-intra-inter-modality-incongruity/)
37. [**Modeling Empathy and Distress in Reaction to News Stories**Sven Buechel, Anneke Buffone, Barry Slaff, et al.*2018 · 181 citations*](https://md.research.elamur.ai/free/en/papers/buechel-2018-modeling-empathy-distress-reaction-news/)
38. [**Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal**Aniruddha Ghosh, Tony Veale*2017 · 175 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2017-magnets-sarcasm-making-sarcasm-detection/)
39. [**Stance Detection in COVID-19 Tweets**Kyle Glandt, Sarthak Khanal, Yingjie Li, et al.*2021 · 173 citations*](https://md.research.elamur.ai/free/en/papers/glandt-2021-stance-detection-covid-19-tweets/)
40. [**SemEval-2021 Task 5: Toxic Spans Detection**John Pavlopoulos, Jeffrey Sorensen, Léo Laugier, et al.*2021 · 172 citations*](https://md.research.elamur.ai/free/en/papers/pavlopoulos-2021-semeval-2021-task-5-toxic/)
41. [**Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran*2021 · 170 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2021-findings-shared-task-hope-speech/)
42. [**Humor Detection: A Transformer Gets the Last Laugh**Orion Weller, Kevin Seppi*2019 · 165 citations*](https://md.research.elamur.ai/free/en/papers/weller-2019-humor-detection-transformer-gets-last/)
43. [**Automatic Recognition of Personality in Conversation**François Mairesse, Marilyn Walker*2006 · 164 citations*](https://md.research.elamur.ai/free/en/papers/mairesse-2006-automatic-recognition-personality-conversation/)
44. [**Emotions from Text: Machine Learning for Text-based Emotion Prediction**Cecilia Ovesdotter Alm, Dan Roth, Richard Sproat*2005 · 160 citations*](https://md.research.elamur.ai/free/en/papers/alm-2005-emotions-text-machine-learning-text/)
45. [**Probing Pre-Trained Language Models for Cross-Cultural Differences in Values**Arnav Arora, Lucie-aimée Kaffee, Isabelle Augenstein*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/arora-2023-probing-pre-trained-language-models/)
46. [**SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense**J. A. Meaney, Steven Wilson, Luis Chiruzzo, et al.*2021 · 141 citations*](https://md.research.elamur.ai/free/en/papers/meaney-2021-semeval-2021-task-7-hahackathon/)
47. [**Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View**Jintian Zhang, Xin Xu, Ningyu Zhang, et al.*2024 · 131 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-exploring-collaboration-mechanisms-llm-agents/)
48. [**Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus**Hendrik Schuff, Jeremy Barnes, Julian Mohme, et al.*2017 · 129 citations*](https://md.research.elamur.ai/free/en/papers/schuff-2017-annotation-modelling-analysis-fine-grained/)
49. [**SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents**Xuhui Zhou, Hao Zhu, Leena Mathur, et al.*2023 · 127 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-sotopia-interactive-evaluation-social-intelligence/)
50. [**Positivity of the English language**Isabel M. Kloumann; Christopher M. Danforth; Kameron Decker Harris; Catherine A. Bliss;, Peter Sheridan Dodds*2011 · 121 citations*](https://md.research.elamur.ai/free/en/papers/kloumann-2011-positivity-english-language/)
51. [**InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews**Xintao Wang, Yunze Xiao, Jen-tse Huang, et al.*2024 · 120 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-incharacter-evaluating-personality-fidelity-role/)
52. [**Aggression-annotated Corpus of Hindi-English Code-mixed Data**Ritesh Kumar, Aishwarya N. Reganti, Akshit Bhatia, et al.*2018 · 116 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2018-aggression-annotated-corpus-hindi-english/)
53. [**From Persona to Personalization: A Survey on Role-Playing Language Agents**Jiangjie Chen, Xintao Wang, Rui Xu, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/)
54. [**Word Affect Intensities**Saif Mohammad*2018 · 114 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2018-word-affect-intensities/)
55. [**Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest**Jack Hessel, Ana Marasovic, Jena D. Hwang, et al.*2023 · 107 citations*](https://md.research.elamur.ai/free/en/papers/hessel-2023-do-androids-laugh-electric-sheep/)
56. [**The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language**Rada Mihalcea, Carlo Strapparava*2009 · 102 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2009-lie-detector-explorations-automatic-recognition/)
57. [**Making Computers Laugh: Investigations in Automatic Humor Recognition**Rada Mihalcea, Carlo Strapparava*2005 · 102 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2005-making-computers-laugh-investigations-automatic/)
58. [**SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions**Arman Cohan, Bart Desmet, Andrew Yates, et al.*2018 · 89 citations*](https://md.research.elamur.ai/free/en/papers/cohan-2018-smhd-large-scale-resource-exploring/)
59. [**Towards a Contextual Pragmatic Model to Detect Irony in Tweets**Jihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al.*2015 · 81 citations*](https://md.research.elamur.ai/free/en/papers/karoui-2015-contextual-pragmatic-model-detect-irony/)
60. [**Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions**Reem I. Masoud, Ziquan Liu, Martin Ferianc, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/masoud-2025-cultural-alignment-large-language-models/)
61. [**Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations**Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, et al.*2021 · 64 citations*](https://md.research.elamur.ai/free/en/papers/malhotra-2021-speaker-time-aware-joint-contextual/)
62. [**iSarcasm: A Dataset of Intended Sarcasm**Silviu Oprea, Walid Magdy*2020 · 58 citations*](https://md.research.elamur.ai/free/en/papers/oprea-2020-isarcasm-dataset-intended-sarcasm/)
63. [**#Irony or #Sarcasm –- A Quantitative and Qualitative Study Based on Twitter**Po-Ya Angela Wang*2013 · 58 citations*](https://md.research.elamur.ai/free/en/papers/wang-2013-irony-or-sarcasm-quantitative-qualitative/)
64. [**How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text**Aditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.*2016 · 46 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-do-cultural-differences-impact/)
65. [**EPIC: Multi-Perspective Annotation of a Corpus of Irony**Simona Frenda, Alessandro Pedrani, Valerio Basile, et al.*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/frenda-2023-epic-multi-perspective-annotation-corpus/)
66. [**Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email**Niyati Chhaya, Kushal Chawla, Tanya Goyal, et al.*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/chhaya-2018-frustrated-polite-or-formal-quantifying/)
67. [**All-in-One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on Memes**Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.*2020 · 38 citations*](https://md.research.elamur.ai/free/en/papers/chauhan-2020-all-one-deep-attentive-multi/)
68. [**Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques**Asma Abdulsalam, Areej Alhothali, Saleh Al-Ghamdi*2023 · 29 citations*](https://md.research.elamur.ai/free/en/papers/abdulsalam-2023-detecting-suicidality-arabic-tweets-using/)
69. [**"With 1 follower I must be AWESOME :P". Exploring the role of irony markers in irony recognition**Debanjan Ghosh, Smaranda Muresan*2018 · 27 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2018-1-follower-i-must-awesome/)
70. [**CEASE, a Corpus of Emotion Annotated Suicide notes in English**Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2020-cease-corpus-emotion-annotated-suicide/)
71. [**Analyzing the Effect of Entrainment on Dialogue Acts**Masahiro Mizukami, Koichiro Yoshino, Graham Neubig, et al.*2016 · 23 citations*](https://md.research.elamur.ai/free/en/papers/mizukami-2016-analyzing-effect-entrainment-dialogue-acts/)
72. [**Generalizable Sarcasm Detection is Just Around the Corner, of Course!**Hyewon Jang, Diego Frassinelli*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/jang-2024-generalizable-sarcasm-detection-is-just/)
73. [**Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis**Daniela Teodorescu, Saif Mohammad*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/teodorescu-2023-evaluating-emotion-arcs-across-languages/)
74. [**A Survey on Automated Sarcasm Detection on Twitter**Bleau Moores, Vijay Mago*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/moores-2022-survey-automated-sarcasm-detection-twitter/)
75. [**Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIRÒ**Alessandra Teresa Cignarella, Cristina Bosco, Viviana Patti, et al.*2018 · 19 citations*](https://md.research.elamur.ai/free/en/papers/cignarella-2018-application-analysis-multi-layered-scheme/)
76. [**The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation**Tyler Loakman, Aaron Maladry, Chenghua Lin*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/loakman-2023-iron-ic-melting-pot-reviewing/)
77. [**The Effect of Sociocultural Variables on Sarcasm Communication Online**Silviu Vlad Oprea, Walid Magdy*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/oprea-2020-effect-sociocultural-variables-sarcasm-communication/)
78. [**#NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English Tweets**Endang Wahyu Pamungkas, Viviana Patti*2018 · 14 citations*](https://md.research.elamur.ai/free/en/papers/pamungkas-2018-nondicevosulserio-semeval-2018-task-3/)
79. [**News Headlines Dataset For Sarcasm Detection**Rishabh Misra*2022 · 12 citations*](https://md.research.elamur.ai/free/en/papers/misra-2022-news-headlines-dataset-sarcasm-detection/)
80. [**PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation**Kshitij Mishra, Azlaan Mustafa Samad, Palak Totala, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2022-pepds-polite-empathetic-persuasive-dialogue/)
81. [**What A Sunny Day ☔: Toward Emoji-Sensitive Irony Detection**Shirley Anugrah Hayati, Aditi Chaudhary, Naoki Otani, et al.*2019 · 10 citations*](https://md.research.elamur.ai/free/en/papers/hayati-2019-what-sunny-day-emoji-sensitive/)
82. [**How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 10 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/)
83. [**Hebrew Psychological Lexicons**Natalie Shapira, Dana Atzil-Slonim, Daniel Juravski, et al.*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/shapira-2021-hebrew-psychological-lexicons/)
84. [**A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context**Noureldin Zahran, Aya E. Fouda, Radwa J. Hanafy, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/zahran-2025-comprehensive-evaluation-large-language-models/)
85. [**Personality Analysis for Social Media Users using Arabic language and its Effect on Sentiment Analysis**Mokhaiber Dandash, Masoud Asadpour*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/dandash-2024-personality-analysis-social-media-users/)
86. [**Detecting English Writing Styles For Non-native Speakers**Rami Al-Rfou'*2012 · 7 citations*](https://md.research.elamur.ai/free/en/papers/al-rfou-2012-detecting-english-writing-styles-non/)
87. [**MindSET: Advancing Mental Health Benchmarking through Large-Scale Social Media Data**Saad Mankarious, Edward Kempa, Daniel Wiechmann, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/mankarious-2026-mindset-advancing-mental-health-benchmarking/)
88. [**Multi-Session Client-Centered Treatment Outcome Evaluation in Psychotherapy**Hongbin Na, Tao Shen, Shumao Yu, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/na-2026-multi-session-client-centered-treatment/)
89. [**An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction**Ali Hamdi, Malak Mohamed, Rokaia Emad, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/hamdi-2025-ensemble-classification-approach-multi-layered/)
90. [**Sarcasm Detection : Building a Contextual Hierarchy**Taradheesh Bali, Navjyoti Singh*2016 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bali-2016-sarcasm-detection-building-contextual-hierarchy/)
91. [**Enhanced Arabic-language cyberbullying detection: deep embedding and transformer (BERT) approaches**Ebtesam Jaber Aljohani, Wael M. S. Yafoo*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/aljohani-2025-enhanced-arabic-language-cyberbullying-detection/)
92. [**INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter**Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, et al.*2018 · 3 citations*](https://md.research.elamur.ai/free/en/papers/farias-2018-inaoe-upv-semeval-2018-task/)
93. [**Mental Health Disorder Detection beyond Social Media: A Systematic Review of Available Datasets**Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur, Stevie Chancellor, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/puspo-2026-mental-health-disorder-detection-beyond/)
94. [**Towards Consistent Detection of Cognitive Distortions: LLM-Based Annotation and Dataset-Agnostic Evaluation**Neha Sharma, Navneet Agarwal, Kairit Sirts*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2026-consistent-detection-cognitive-distortions-llm/)
95. [**CARMA: Comprehensive Automatically-annotated Reddit Mental Health Dataset for Arabic**Saad Mankarious, Ayah Zirikly*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mankarious-2025-carma-comprehensive-automatically-annotated-reddit/)
96. [**dzStance at StanceEval2024: Arabic Stance Detection based on Sentence Transformers**Mohamed Lichouri, Khaled Lounnas, Ouaras Rafik, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/lichouri-2024-dzstance-stanceeval2024-arabic-stance-detection/)
97. [**Cohesion-6K: An Arabic Dataset for Analyzing Social Cohesion and Conflict in Online Discourse**Aisha Ali Al-Athba, Wajdi Zaghouani*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/athba-2026-cohesion-6k-arabic-dataset-analyzing/)
98. [**ArPanEmo: An Open-Source Dataset for Fine-Grained Emotion Recognition in Arabic Online Content during COVID-19 Pandemic**Maha Jarallah Althobaiti*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/althobaiti-2023-arpanemo-open-source-dataset-fine/)
99. [**Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features**Erhan Sezerer, Ozan Polatbilek, Selma Tekir*2019 · 1 citation*](https://md.research.elamur.ai/free/en/papers/sezerer-2019-gender-prediction-tweets-improving-neural/)
100. [**PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis**Elena Mikhalkova, Yuri Karyakin, Alexander Voronov, et al.*2018 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mikhalkova-2018-punfields-semeval-2018-task-3/)
101. [**Detecting English Writing Styles For Non Native Speakers**Yanging Chen, Rami Al-Rfou', Yejin Choi*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/chen-2017-detecting-english-writing-styles-non/)
102. [**A Computational Diachronic Analysis of Gen Z Mental Health Discourse: A Large-scale Reddit Corpus Study from Pre- to Post-COVID**Felix Mao*2026*](https://md.research.elamur.ai/free/en/papers/mao-2026-computational-diachronic-analysis-gen-z/)
103. [**Adaptive Emotion Management in Human-robot Dialogue using Online Group Relative Policy Optimization**Anna Manaseryan, Casey Kennington*2026*](https://md.research.elamur.ai/free/en/papers/manaseryan-2026-adaptive-emotion-management-human-robot/)
104. [**ADHD-Lang: A Large-Scale Social Media Dataset for Verbal Behavior and Digital Phenotyping in Adult ADHD**Daniel Wiechmann, Elma Kerz, Edward Kempa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wiechmann-2026-adhd-lang-large-scale-social/)
105. [**Appraisal Theory-Informed Emotion Prediction**Xiaowei Wang, Jayant Teotia, Rui Mao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-appraisal-theory-informed-emotion-prediction/)
106. [**Assessing Suicide Risk in Arabic Crisis Helpline Calls: A Comparison of Arabic and English Large Language Models**Linhai Ma, Rita El Hachem, Mahatab El Hajj, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-assessing-suicide-risk-arabic-crisis/)
107. [**Automatic Analysis of Collaboration through Human Conversational Data Resources: A Review**Yi Yu, Maria Boritchev, Chloé Clavel*2026*](https://md.research.elamur.ai/free/en/papers/yu-2026-automatic-analysis-collaboration-through-human/)
108. [**Big Five Personality Prediction through Emotion-Conditioned Representations and Learnable Psycholinguistic Mapping**Lorenzo Zangari, Antonin Schnyder, Davide Picca*2026*](https://md.research.elamur.ai/free/en/papers/zangari-2026-big-five-personality-prediction-through/)
109. [**Calibrated to Whom? Persona and Language Effects on Cultural Values in JEV**Bushra Asseri, Abdulaziz Asseri*2026*](https://md.research.elamur.ai/free/en/papers/asseri-2026-calibrated-whom-persona-language-effects/)
110. [**CONVERSE: Annotation Scheme and Dataset for Multimodal Conversational Engagement Analysis in Human-Human and Human-Robot Interaction**Ekaterina Torubarova, Oskar Ljung, Julia Uddén, et al.*2026*](https://md.research.elamur.ai/free/en/papers/torubarova-2026-converse-annotation-scheme-dataset-multimodal/)
111. [**Detecting Risky Behavior Related to Alcohol and Drug Use within Adolescents' Private Messenger Conversations**Jaromír Plhák, Michaela Lebedíková, Ondrej Sotolar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/plhak-2026-detecting-risky-behavior-related-alcohol/)
112. [**Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural Language**Yoshiki Tanaka, Ryuichi Uehara, Koji Inoue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tanaka-2026-emotion-transcription-conversation-benchmark-capturing/)
113. [**From Felt Sense to Words: Construction and Analysis of a Focusing Dialogue Dataset for Verbalization**Yuiko Tsunomori, Yuya Chiba, Yosuke Koshikawa*2026*](https://md.research.elamur.ai/free/en/papers/tsunomori-2026-felt-sense-words-construction-analysis/)
114. [**Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor**Ahmed Sharshar, Hosam Elgendy, Saad El Dine Ahmed, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sharshar-2026-harm-humor-multimodal-multilingual-benchmark/)
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