Political Rumors Data in Social Media
Description
The dataset consists of two sheets: "Raw Rumor 780 Data" and "Selected 750 data", each documenting political rumors disseminated through social media, focusing specifically on regime change in Bangladesh during the July 24 Movement. The "Raw Rumor 780 Data" sheet contains 780 records with detailed information about political rumors, including titles, textual content in Bangla, sentiment and emotion analysis, associated tags, and fact-checking statements. This detailed dataset identifies rumors' political alignment ("Pro Opposition," "Pro Ruling"), classifies their authenticity (False, Misleading), and provides original sources for verification. Sentiment analysis classifies rumors by emotional and polarity scores, offering rich insights into how misinformation influenced public sentiment during the political turmoil. The second sheet, "Selected 750 data," contains 750 entries of curated rumors specifically linked to social media platforms (mainly Facebook). This subset includes essential information like rumor type, regime identification ("Yunus Regime," "Hasina Regime"), publication dates, and direct links to the original social media posts. This focused dataset is streamlined for analyzing dissemination patterns, platforms' roles, and temporal trends in political misinformation aimed at influencing public opinion and regime stability in Bangladesh during this critical political transitio