Impact of Cyber Bullying on Political Behavior and Youth’s Perceptions about Use of Social Media by Political Parties of Pakistan

Abdul Rehman Qaisar, Faiza Bajwa, Tariq Nawaz
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引用次数: 1

Abstract

Purpose: Present study analyses social media users’ perceptions about presence of cyber bullying in political contents on Facebook and Twitter. In the presence of social media cells of political parties, this study designed to analyze impact of cyber bullying on political behavior of users. Design/Methodology/Approach: Present study utilized survey research techniques and data from 300 male and female social media users was collected through a well-designed questionnaire. Findings: Major findings indicate consistent use of social media by youngster and users believe that there is rise in political contents on social media. Social media bullying is creating a political divide among supporters of different political parties. Bullying contents creating hatred, enmity, hostility, aggression and anger against supporters of other parties. Users are the view that offensive language, photo shopped images, impersonation, spoofing, misleading facts are faced by users in political contents. Results also reveal that male users face more offensive language as compared to female users of social media due to wider friendship circle. Implications/Originality/Value: It is evident from the finding that bullying, trolling and memes has emerged as new way of political agenda setting and major area to reinforce voters about certain political ideology in the context of Pakistan’s political atmosphere. 
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巴基斯坦网络霸凌对政治行为的影响及青年对政党使用社交媒体的看法
目的:本研究分析社交媒体用户对Facebook和Twitter上政治内容中存在网络欺凌的看法。在政党社交媒体细胞存在的情况下,本研究旨在分析网络欺凌对用户政治行为的影响。设计/方法/方法:本研究采用调查研究技术,通过精心设计的问卷收集了300名男性和女性社交媒体用户的数据。调查结果:主要调查结果表明,年轻人持续使用社交媒体,用户认为社交媒体上的政治内容有所增加。社交媒体欺凌正在不同政党的支持者之间制造政治分歧。对其他党派的支持者制造仇恨、敌意、敌意、侵略和愤怒的欺凌内容。用户认为,用户在政治内容中面临攻击性语言、图片处理、模仿、欺骗、误导事实等问题。研究结果还显示,与女性用户相比,男性用户在社交媒体上面临的攻击性语言更多,因为他们的朋友圈更广。影响/原创性/价值:从调查结果可以明显看出,在巴基斯坦政治氛围的背景下,霸凌、网络挑衅和模因已成为政治议程设定的新方式,也是强化选民对某些政治意识形态的主要领域。
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0.00%
发文量
53
审稿时长
14 weeks
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