Abstract
Increasing eminence of online reputation of individuals along with the tendency to avoid unpleasant real-life and/or virtual events such as cyber-bullying, social awkwardness, unintentional false news propagation etc., have made many social users concerned about their social media posts. To avoid the miscellaneous unpleasant events and to ameliorate online reputation, rigorous assessment of proposed posts before broadcasting them in actual social media has become crucial for these users. We observe that, such pre-screening of a proposed post requires human evaluation or feedback regarding different aspects of the post, which in turn assists the associated user in deciding whether or not he/she should broadcast the post in actual social media. In this paper, we address this issue and propose a crowd-powered testbed that allows a social media user to get a real-time evaluation of his/her proposed post. This assessment of a proposed post includes a positive/negative recommendation indicating whether or not the post should be broadcasted in actual social media.
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Dev, H., Ali, M.E., Mahmud, J., Sen, T., Basak, M., Paul, R. (2015). A Real-Time Crowd-Powered Testbed for Content Assessment of Potential Social Media Posts. In: Liu, TY., Scollon, C., Zhu, W. (eds) Social Informatics. SocInfo 2015. Lecture Notes in Computer Science(), vol 9471. Springer, Cham. https://doi.org/10.1007/978-3-319-27433-1_10
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DOI: https://doi.org/10.1007/978-3-319-27433-1_10
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