• DocumentCode
    2194948
  • Title

    Can #Twitter_Trends Predict Election Results? Evidence from 2014 Indian General Election

  • Author

    Khatua, Aparup ; Khatua, Apalak ; Ghosh, Kuntal ; Chaki, Nabendu

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Calcutta, Kolkata, India
  • fYear
    2015
  • fDate
    5-8 Jan. 2015
  • Firstpage
    1676
  • Lastpage
    1685
  • Abstract
    Extant literature finds that twitter trends can capture electoral sentiment. However, empirical evidences are ambiguous in nature. Thus, this study uses the context of 2014 Indian General Election to test the predictive power of Twitter in a large and politically diversified country. We have analyzed roughly 0.4 million tweets during the period March 15, 2014 to May 12, 2014. We observe that tweet volume as well as sentiment analysis can predict election results. We also find that sentiment scores can predict changes in vote share. We note that in a multi-party system the nationality of a party can be an important factor. However, these results should be interpreted with caution. We emphasize the relevance of contextual understanding for efficient data collection and analysis.
  • Keywords
    data analysis; government data processing; social networking (online); 2014 Indian general election; Twitter trend; data analysis; data collection; election result prediction; electoral sentiment analysis; multiparty system; tweet volume; vote share; Context; Government; Market research; Media; Nominations and elections; Sentiment analysis; Twitter; Election; India; Social Media; Twitter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2015 48th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2015.202
  • Filename
    7070012