Can Conversing with a Computer Increase Turnout? Mobilization Using Chatbot Communication. Issue 1 (23rd March 2021)
- Record Type:
- Journal Article
- Title:
- Can Conversing with a Computer Increase Turnout? Mobilization Using Chatbot Communication. Issue 1 (23rd March 2021)
- Main Title:
- Can Conversing with a Computer Increase Turnout? Mobilization Using Chatbot Communication
- Authors:
- Mann, Christopher B.
- Abstract:
- Abstract: According to the burgeoning voter mobilization field experiments literature, impersonal contact has little-to-no effect. A conversation with a computer is, by definition, an impersonal interaction. However, chatbots are form of communication wherein a computer imitates conversations by interacting using natural language. Human-to-chatbot interactions are often perceived as similar to human-to-human interactions. How ubiquitous are chatbots? Just ask Siri, Cortana, Bixby, or Alexa, or ask for help on any e-commerce website (these are each chatbots). A simple voter mobilization treatment reminding users of a political chatbot (Resistbot) to vote and providing information about polling locations and hours increased turnout by 1.8 percentage points in a 2019 election. The results replicate previously unpublished field experiments by Resistbot in 2018 that found smaller but statistically significant increases in turnout.
- Is Part Of:
- Journal of experimental political science. Volume 8:Issue 1(2021)
- Journal:
- Journal of experimental political science
- Issue:
- Volume 8:Issue 1(2021)
- Issue Display:
- Volume 8, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 8
- Issue:
- 1
- Issue Sort Value:
- 2021-0008-0001-0000
- Page Start:
- 51
- Page End:
- 62
- Publication Date:
- 2021-03-23
- Subjects:
- Political science -- Periodicals
Political science -- Research -- Periodicals
Political science -- Methodology -- Periodicals
320.0724 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=XPS ↗
- DOI:
- 10.1017/XPS.2020.5 ↗
- Languages:
- English
- ISSNs:
- 2052-2630
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 15586.xml