Abstract
Social media has become an important mode for communication and content sharing in this digital world. During large-scale events, a big cluster of data usually posted by the users on social media; in the form of tweets, pictures and videos. The data is informative, but not all the contents which are posted on the social media have reliable information. The existence of spam, fake images and manipulation can reduce the validity of information on social media. To establish trust in information posted on social media, there is a need to identify a mechanism that can recognize and report questionable posts and flag them for scrutiny and verification. This research will provide an approach in assessing and improving the validity of information on social media. The users will able to identify the validity of information along with polarity and subjectivity of tweets and videos.
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Arshad, M.F., Kasi, B., Ul-Amin, R., Malik, A.S. (2020). Improving Validity of Disaster Related Information by Identifying Correlation Among Different Social Media Streams. In: Bajwa, I., Sibalija, T., Jawawi, D. (eds) Intelligent Technologies and Applications. INTAP 2019. Communications in Computer and Information Science, vol 1198. Springer, Singapore. https://doi.org/10.1007/978-981-15-5232-8_29
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DOI: https://doi.org/10.1007/978-981-15-5232-8_29
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