Social Interactions Mediated by the Internet and the Big- Five: a Cross-Country Analysis

• URL: http://arxiv.org/abs/2309.10681v1
• Date: Tue, 19 Sep 2023 15:04:55 GMT
• Title: Social Interactions Mediated by the Internet and the Big- Five: a Cross-Country Analysis
• Authors: Andrea Mercado, Alethia Hume, Ivanno Bison, Fausto Giunchiglia, Amarsanaa Ganbold and Luca Cernuzzi
• Abstract summary: This study analyzes the relationship between personality traits and social interactions mediated by digital platforms. The main findings confirm that personality traits may influence social interactions and active participation in groups.
• Score: 7.795711355439953
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This study analyzes the possible relationship between personality traits, in terms of Big Five (extraversion, agreeableness, responsibility, emotional stability and openness to experience), and social interactions mediated by digital platforms in different socioeconomic and cultural contexts. We considered data from a questionnaire and the experience of using a chatbot, as a mean of requesting and offering help, with students from 4 universities: University of Trento (Italy), the National University of Mongolia, the School of Economics of London (United Kingdom) and the Universidad Cat\'olica Nuestra Se\~nora de la Asunci\'on (Paraguay). The main findings confirm that personality traits may influence social interactions and active participation in groups. Therefore, they should be taken into account to enrich the recommendation of matching algorithms between people who ask for help and people who could respond not only on the basis of their knowledge and skills.

Related papers

• Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning [0.18416014644193066]
  AI-driven applications are transforming how students interact with social media. Students engaging with AI-enhanced social media platforms report higher academic performance. AI algorithms effectively match students based on shared academic interests and career goals.
  arXiv  Detail & Related papers  (2024-06-15T01:05:56Z)
• Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions [67.60397632819202]
  Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research goal. We identify a set of underlying technical challenges and open questions for researchers across computing communities to advance Social-AI.
  arXiv  Detail & Related papers  (2024-04-17T02:57:42Z)
• SocialBench: Sociality Evaluation of Role-Playing Conversational Agents [85.6641890712617]
  Large language models (LLMs) have advanced the development of various AI conversational agents. SocialBench is the first benchmark designed to evaluate the sociality of role-playing conversational agents at both individual and group levels. We find that agents excelling in individual level does not imply their proficiency in group level.
  arXiv  Detail & Related papers  (2024-03-20T15:38:36Z)
• Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future [59.78608958395464]
  We build a Social AI Data Infrastructure, which consists of a comprehensive social AI taxonomy and a data library of 480 NLP datasets. Our infrastructure allows us to analyze existing dataset efforts, and also evaluate language models' performance in different social intelligence aspects. We show there is a need for multifaceted datasets, increased diversity in language and culture, more long-tailed social situations, and more interactive data in future social intelligence data efforts.
  arXiv  Detail & Related papers  (2024-02-28T00:22:42Z)
• Can ChatGPT Read Who You Are? [10.577227353680994]
  We report the results of a comprehensive user study featuring texts written in Czech by a representative population sample of 155 participants. We compare the personality trait estimations made by ChatGPT against those by human raters and report ChatGPT's competitive performance in inferring personality traits from text.
  arXiv  Detail & Related papers  (2023-12-26T14:43:04Z)
• Social interactions mediated by the Internet and the Big-Five: a cross-country analysis [4.4124245105031905]
  This study analyzes the relationship between personality traits and social interactions mediated by digital platforms. The main findings confirm that personality traits may influence social interactions and active participation in groups.
  arXiv  Detail & Related papers  (2023-06-09T13:26:17Z)
• ChatGPT in education: A discourse analysis of worries and concerns on social media [1.4190701053683017]
  We analyzed Twitter data to identify key concerns related to the use of ChatGPT in education. Our study underscores the importance of responsible and ethical use of AI in education.
  arXiv  Detail & Related papers  (2023-04-29T22:08:42Z)
• Known by the company we keep: `Triadic influence' as a proxy for compatibility in social relationships [1.1545092788508224]
  We study real social networks of 13 schools with more than 3,000 students and 60,000 declared positive and negative relations. We use neural networks to predict the relationships and to extract the probability that two students are friends or enemies. We postulate that the probabilities extracted from the neural networks control the evolution of real social networks.
  arXiv  Detail & Related papers  (2022-09-08T09:52:34Z)
• Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A Survey [71.43956423427397]
  We aim to identify the nonverbal cues and computational methodologies resulting in effective performance. This survey differs from its counterparts by involving the widest spectrum of social phenomena and interaction settings. Some major observations are: the most often used nonverbal cue, computational method, interaction environment, and sensing approach are speaking activity, support vector machines, and meetings composed of 3-4 persons equipped with microphones and cameras, respectively.
  arXiv  Detail & Related papers  (2022-07-20T13:37:57Z)
• Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling [74.83957286553924]
  We infer the Myers-Briggs Personality Type indicators by applying a novel multi-view fusion framework, called "PERS" Our experimental results demonstrate the PERS's ability to learn from multi-view data for personality profiling by efficiently leveraging on the significantly different data arriving from diverse social multimedia sources.
  arXiv  Detail & Related papers  (2021-06-20T10:48:49Z)
• Vyaktitv: A Multimodal Peer-to-Peer Hindi Conversations based Dataset for Personality Assessment [50.15466026089435]
  We present a novel peer-to-peer Hindi conversation dataset- Vyaktitv. It consists of high-quality audio and video recordings of the participants, with Hinglish textual transcriptions for each conversation. The dataset also contains a rich set of socio-demographic features, like income, cultural orientation, amongst several others, for all the participants.
  arXiv  Detail & Related papers  (2020-08-31T17:44:28Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.