DocumentCode :
262412
Title :
A Comparison of Common Users across Instagram and Ask.fm to Better Understand Cyberbullying
Author :
Hosseinmardi, Homa ; Shaosong Li ; Zhili Yang ; Qin Lv ; Ibn Rafiq, Rahat ; Han, Richard ; Mishra, Shivakant
Author_Institution :
Dept. of Comput. Sci., Univ. of Colorado at Boulder, Boulder, CO, USA
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
355
Lastpage :
362
Abstract :
This paper examines users who are common to two popular online social networks, Instagram and Ask.fm, That are often used for cyber bullying. An analysis of the negativity and positivity of word usage in posts by common users of these two social networks is performed. These results are normalized in comparison to a sample of typical users in both networks. We also examine the posting activity of common user profiles and consider its correlation with negativity. Within the Ask.fm social network, which allows anonymous posts, the relationship between anonymity and negativity is further explored.
Keywords :
behavioural sciences computing; information analysis; social networking (online); Ask.fm; Instagram; anonymous posts; common user profiles; cyberbullying; online social networks; posting activity; word usage negativity analysis; word usage positivity analysis; Computer science; Correlation; Educational institutions; Facebook; Media; Twitter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/BDCloud.2014.87
Filename :
7034816
Link To Document :
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