从单调到精彩:研究感知酷对社交媒体新闻消费的影响

Q4 Computer Science

International Journal of Information and Communication Technology Pub Date : 2022-12-06 DOI:10.51548/joctec-2022-011

Mu Wu, Steve Bien-Aimé

{"title":"从单调到精彩:研究感知酷对社交媒体新闻消费的影响","authors":"Mu Wu, Steve Bien-Aimé","doi":"10.51548/joctec-2022-011","DOIUrl":null,"url":null,"abstract":"This study surveyed college students to gauge whether coolness influences intention to consume news on four social networking platforms: Facebook, Twitter, Instagram, and Snapchat. Results indicate that news consumption on Twitter and on Facebook are generally rated as more useful and easier to use than on Instagram and Snapchat. However, consuming news on Twitter and Snapchat is perceived as the coolest overall, whereas news use on Facebook is rated as the least cool across all three coolness sub-dimensions. Because coolness, with attractiveness and subculture being two appeals that had unique contribution, explains a significant amount of variance in individuals’ behavioural intentions to consume news on each of the platforms, this study suggests that, in addition to utilitarian aspects, coolness motivates news consumption on social networking sites and should be incorporated into future studies on technology adoption.","PeriodicalId":39396,"journal":{"name":"International Journal of Information and Communication Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Drab to Fab: Examining the Effects of Perceived Coolness on News Consumption on Social Media\",\"authors\":\"Mu Wu, Steve Bien-Aimé\",\"doi\":\"10.51548/joctec-2022-011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study surveyed college students to gauge whether coolness influences intention to consume news on four social networking platforms: Facebook, Twitter, Instagram, and Snapchat. Results indicate that news consumption on Twitter and on Facebook are generally rated as more useful and easier to use than on Instagram and Snapchat. However, consuming news on Twitter and Snapchat is perceived as the coolest overall, whereas news use on Facebook is rated as the least cool across all three coolness sub-dimensions. Because coolness, with attractiveness and subculture being two appeals that had unique contribution, explains a significant amount of variance in individuals’ behavioural intentions to consume news on each of the platforms, this study suggests that, in addition to utilitarian aspects, coolness motivates news consumption on social networking sites and should be incorporated into future studies on technology adoption.\",\"PeriodicalId\":39396,\"journal\":{\"name\":\"International Journal of Information and Communication Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information and Communication Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51548/joctec-2022-011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51548/joctec-2022-011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}

引用次数: 0

摘要

这项研究调查了大学生，以衡量酷是否会影响他们在四个社交网络平台上消费新闻的意愿:Facebook、Twitter、Instagram和Snapchat。结果表明，Twitter和Facebook上的新闻消费通常被认为比Instagram和Snapchat更有用、更容易使用。然而，在推特和Snapchat上阅读新闻总体上被认为是最酷的，而在Facebook上阅读新闻在所有三个酷的子维度上被评为最不酷的。由于酷(吸引力和亚文化是两种具有独特贡献的吸引力)解释了个人在每个平台上消费新闻的行为意图的显著差异，本研究表明，除了功利方面，酷还会激励社交网站上的新闻消费，应该纳入未来的技术采用研究中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Drab to Fab: Examining the Effects of Perceived Coolness on News Consumption on Social Media

This study surveyed college students to gauge whether coolness influences intention to consume news on four social networking platforms: Facebook, Twitter, Instagram, and Snapchat. Results indicate that news consumption on Twitter and on Facebook are generally rated as more useful and easier to use than on Instagram and Snapchat. However, consuming news on Twitter and Snapchat is perceived as the coolest overall, whereas news use on Facebook is rated as the least cool across all three coolness sub-dimensions. Because coolness, with attractiveness and subculture being two appeals that had unique contribution, explains a significant amount of variance in individuals’ behavioural intentions to consume news on each of the platforms, this study suggests that, in addition to utilitarian aspects, coolness motivates news consumption on social networking sites and should be incorporated into future studies on technology adoption.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Journal of Information and Communication Technology Computer Science-Information Systems

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： IJICT is a refereed journal in the field of information and communication technology (ICT), providing an international forum for professionals, engineers and researchers. IJICT reports the new paradigms in this emerging field of technology and envisions the future developments in the frontier areas. The journal addresses issues for the vertical and horizontal applications in this area. Topics covered include: -Information theory/coding- Information/IT/network security, standards, applications- Internet/web based systems/products- Data mining/warehousing- Network planning, design, administration- Sensor/ad hoc networks- Human-computer intelligent interaction, AI- Computational linguistics, digital speech- Distributed/cooperative media- Interactive communication media/content- Social interaction, mobile communications- Signal representation/processing, image processing- Virtual reality, cyber law, e-governance- Microprocessor interfacing, hardware design- Control of industrial processes, ERP/CRM/SCM