{"title":"Communicating through #hashtags: Influencing perceptions of personality and trust","authors":"Pallavi Khurana, Archana Krishnan","doi":"10.1016/j.chb.2025.108623","DOIUrl":null,"url":null,"abstract":"<div><div>Hashtags are integral to conversations and discussions on social media and are used to communicate emotions and meaning. However, little is known about how hashtags form impressions of social media users' personalities, credibility, and attractiveness. This study utilizes Social Information Processing Theory (SIPT) to examine if impressions can be formed about the sender based on their use of hashtags on social media. A between-subjects post-test-only experimental design was implemented in which participants (<em>N</em> = 322) viewed mock Instagram posts that differed in the number of hashtags utilized (low vs. high) and framing (positive, negative, neutral) and completed assessments on source perceptions of extraversion, neuroticism, narcissism, trustworthiness, and social attractiveness. Posts with a high number of positive hashtags were associated with higher perceptions of extraversion. Posts with positive hashtags made the source perceived as more socially attractive and trustworthy than those with neutral and negative hashtags. This research significantly advances theory by extending tenets of SIPT to understand how hashtags influence person perception on social media.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"168 ","pages":"Article 108623"},"PeriodicalIF":9.0000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Human Behavior","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0747563225000706","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Hashtags are integral to conversations and discussions on social media and are used to communicate emotions and meaning. However, little is known about how hashtags form impressions of social media users' personalities, credibility, and attractiveness. This study utilizes Social Information Processing Theory (SIPT) to examine if impressions can be formed about the sender based on their use of hashtags on social media. A between-subjects post-test-only experimental design was implemented in which participants (N = 322) viewed mock Instagram posts that differed in the number of hashtags utilized (low vs. high) and framing (positive, negative, neutral) and completed assessments on source perceptions of extraversion, neuroticism, narcissism, trustworthiness, and social attractiveness. Posts with a high number of positive hashtags were associated with higher perceptions of extraversion. Posts with positive hashtags made the source perceived as more socially attractive and trustworthy than those with neutral and negative hashtags. This research significantly advances theory by extending tenets of SIPT to understand how hashtags influence person perception on social media.
期刊介绍:
Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.