Faculty Advisor/Mentor
Michael L. Nelson; Michele C. Weigle
Location
Virginia Modeling, Analysis and Simulation Center, Room 1201
Conference Title
Modeling, Simulation and Visualization Student Capstone Conference 2023
Conference Track
Data Science
Document Type
Paper
Abstract
Screenshots are prevalent on social media as a common approach for information sharing. Users rarely verify before sharing screenshots whether they are fake or real. Information sharing through fake screenshots can be highly responsible for misinformation and disinformation spread on social media. There are services of the live web and web archives that could be used to validate the content of a screenshot. We are going to develop a tool that would automatically provide a probability whether a screenshot is fake by using the services of the live web and web archives.
Keywords:
Twitter, Misinformation, Disinformation, Screenshot, Web archives
Start Date
4-20-2023
End Date
4-20-2023
Recommended Citation
Zaki, Tarannum; Nelson, Michael L.; and Weigle, Michele C., "Extracting Information from Twitter Screenshots" (2023). Modeling, Simulation and Visualization Student Capstone Conference. 3.
https://digitalcommons.odu.edu/msvcapstone/2023/datascience/3
DOI
10.25776/x46t-xf79
Extracting Information from Twitter Screenshots
Virginia Modeling, Analysis and Simulation Center, Room 1201
Screenshots are prevalent on social media as a common approach for information sharing. Users rarely verify before sharing screenshots whether they are fake or real. Information sharing through fake screenshots can be highly responsible for misinformation and disinformation spread on social media. There are services of the live web and web archives that could be used to validate the content of a screenshot. We are going to develop a tool that would automatically provide a probability whether a screenshot is fake by using the services of the live web and web archives.