Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign

Giuseppe Di Fatta; James Reade; Sylvia Jaworska; Anupam Nanda

Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign

Giuseppe Di Fatta, James Reade, Sylvia Jaworska, Anupam Nanda

Planning, Property and Environmental Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The General Election for the 56th United Kingdom Parliament was held on 7 May 2015. Tweets related to UK politics, not only those with the specific hashtag ?GE2015?, have been collected in the period between March 1 and May 31, 2015. The resulting dataset contains over 28 million tweets for a total of 118 GB in uncompressed format or 15 GB in compressed format. This study describes the method that was used to collect the tweets and presents some analysis, including a political sentiment index, and outlines interesting research directions on Big Social Data based on Twitter microblogging.

Original language	Undefined
Title of host publication	The 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015)
Publication status	Published - 1 Dec 2015

Access to Document

http://centaur.reading.ac.uk/48226/

Cite this

@inproceedings{3094545bd8ca4efcaecc59c559434978,

title = "Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign",

abstract = "The General Election for the 56th United Kingdom Parliament was held on 7 May 2015. Tweets related to UK politics, not only those with the specific hashtag ?GE2015?, have been collected in the period between March 1 and May 31, 2015. The resulting dataset contains over 28 million tweets for a total of 118 GB in uncompressed format or 15 GB in compressed format. This study describes the method that was used to collect the tweets and presents some analysis, including a political sentiment index, and outlines interesting research directions on Big Social Data based on Twitter microblogging.",

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booktitle = "The 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015)",

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T1 - Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign

AU - Fatta, Giuseppe Di

AU - Reade, James

AU - Jaworska, Sylvia

AU - Nanda, Anupam

PY - 2015/12/1

Y1 - 2015/12/1

N2 - The General Election for the 56th United Kingdom Parliament was held on 7 May 2015. Tweets related to UK politics, not only those with the specific hashtag ?GE2015?, have been collected in the period between March 1 and May 31, 2015. The resulting dataset contains over 28 million tweets for a total of 118 GB in uncompressed format or 15 GB in compressed format. This study describes the method that was used to collect the tweets and presents some analysis, including a political sentiment index, and outlines interesting research directions on Big Social Data based on Twitter microblogging.

AB - The General Election for the 56th United Kingdom Parliament was held on 7 May 2015. Tweets related to UK politics, not only those with the specific hashtag ?GE2015?, have been collected in the period between March 1 and May 31, 2015. The resulting dataset contains over 28 million tweets for a total of 118 GB in uncompressed format or 15 GB in compressed format. This study describes the method that was used to collect the tweets and presents some analysis, including a political sentiment index, and outlines interesting research directions on Big Social Data based on Twitter microblogging.

M3 - Conference contribution

BT - The 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015)

ER -