short-paper

Bumps and Bruises: Mining Presidential Campaign Announcements on Twitter

Authors:

Padmini SrinivasanAuthors Info & Claims

HT '17: Proceedings of the 28th ACM Conference on Hypertext and Social Media

Pages 215 - 224

https://doi.org/10.1145/3078714.3078736

Published: 04 July 2017 Publication History

Abstract

Online social media plays an increasingly significant role in shaping the political discourse during elections worldwide. In the 2016 U.S. presidential election, political campaigns strategically designed candidacy announcements on Twitter to produce a significant increase in online social media attention. We use large-scale online social media communications to study the factors of party, personality, and policy in the Twitter discourse following six major presidential campaign announcements for the 2016 U.S. presidential election. We observe that all campaign announcements result in an instant bump in attention, with up to several orders of magnitude increase in tweets. However, we find that Twitter discourse as a result of this bump in attention has overwhelmingly negative sentiment. The bruising criticism, driven by crosstalk from Twitter users of opposite party affiliations, is organized by hashtags such as #NoMoreBushes and #WhyImNotVotingForHillary. We analyze how people take to Twitter to criticize specific personality traits and policy positions of presidential candidates.

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Bumps and Bruises: Mining Presidential Campaign Announcements on Twitter

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Published In

cover image ACM Conferences

HT '17: Proceedings of the 28th ACM Conference on Hypertext and Social Media

July 2017

336 pages

ISBN:9781450347082

DOI:10.1145/3078714

General Chairs:
Peter Dolog
Aalborg University, Denmark
,
Peter Vojtas
Charles University, Prague, Czech Republic
,
Program Chairs:
Francesco Bonchi
ISI Foundation, Turin, Italy
,
Denis Helic
Graz University of Technology, Austria

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 July 2017

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HT'17: 28th Conference on Hypertext and Social Media

July 4 - 7, 2017

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HT '17 Paper Acceptance Rate 19 of 69 submissions, 28%;

Overall Acceptance Rate 378 of 1,158 submissions, 33%

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https://doi.org/10.1109/ICACRS58579.2023.10404211
Shanthakumar SSeetharam ARamesh A(2021)Understanding the Societal Disruption due to COVID-19 via User Tweets2021 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP52413.2021.00039(137-144)Online publication date: Aug-2021
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https://doi.org/10.1080/23311886.2021.1932030
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https://dl.acm.org/doi/10.1007/s10462-021-10030-2
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