独创性
内容分析
用户参与度
广告
内容(测量理论)
包裹体(矿物)
心理学
计算机科学
社会学
业务
万维网
社会心理学
数学
创造力
社会科学
数学分析
作者
R.V. ShabbirHusain,Balamurugan Annamalai,Shabana Chandrasekaran
标识
DOI:10.1108/sbm-10-2022-0094
摘要
Purpose This study aims to understand the impact of content orientation, media type, and information richness on fan engagement in multi-sport global events. Design/methodology/approach The authors conducted a content analysis on Twitter posts recording over two million user impressions from the official account managed by the International Olympic Committee for India during the Tokyo Olympic Games 2020. A multivariate Poisson model using the Bayesian approach was used for analyzing data. Findings This study found that fan engagement is likely to be higher for player-oriented content as opposed to team-oriented content. Also, the usage of photos to enhance engagement worked better than any other media type. Finally, the results revealed that the inclusion of hashtags has a positive effect on fan engagement for tweet comments but not for like count and retweet count. Originality/value The study highlights the differences in player versus team-oriented posts in global multi-sport competitions. The findings have significant implications for practicing sport managers by informing them about key elements that drive fans to engage in online communication.
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