Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident

Abstract As digitalization increases, countries employ digital diplomacy, harnessing digital resources to project their desired image. Digital diplomacy also encompasses the interactivity of digital platforms, providing a trove of public opinion that diplomatic agents can collect. Social media bots...

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Main Authors: Lynnette Hui Xian Ng, Kathleen M. Carley
Format: Article
Language:English
Published: SpringerOpen 2023-12-01
Series:EPJ Data Science
Subjects:
Online Access:https://doi.org/10.1140/epjds/s13688-023-00440-3
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author Lynnette Hui Xian Ng
Kathleen M. Carley
author_facet Lynnette Hui Xian Ng
Kathleen M. Carley
author_sort Lynnette Hui Xian Ng
collection DOAJ
description Abstract As digitalization increases, countries employ digital diplomacy, harnessing digital resources to project their desired image. Digital diplomacy also encompasses the interactivity of digital platforms, providing a trove of public opinion that diplomatic agents can collect. Social media bots actively participate in political events through influencing political communication and purporting coordinated narratives to influence human behavior. This article provides a methodology towards identifying three types of bots: General Bots, News Bots and Bridging Bots, then further identify these classes of bots on Twitter during a diplomatic incident involving the United States and China. In the balloon incident that occurred in early 2023, where a balloon believed to have originated from China is spotted across the US airspace. Both countries have differing opinions on the function and eventual handling of the balloon. Using a series of computational methods, this article examines the impact of bots on the topics disseminated, the influence and the use of information maneuvers of bots within the social communication network. Among others, our results observe that all three types of bots are present across the two countries; bots geotagged to the US are generally concerned with the balloon location while those geotagged to China discussed topics related to escalating tensions; and perform different extent of positive narrative and network information maneuvers. The broader implications of our work towards policy making is the systematic identification of the type of bot users and their properties across country lines, enabling the evaluation of how automated agents are being deployed to disseminate narratives and the nature of narratives propagated, and therefore reflects the image that the country is being projected as on social media; as well as the perception of political issues by social media users.
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spelling doaj.art-aa7b5f4dae644e438c0fcfbfc4af8ec42023-12-24T12:12:06ZengSpringerOpenEPJ Data Science2193-11272023-12-0112112810.1140/epjds/s13688-023-00440-3Deflating the Chinese balloon: types of Twitter bots in US-China balloon incidentLynnette Hui Xian Ng0Kathleen M. Carley1IDeaS Center for Informed Democracy & Social-CyberSecurity, Carnegie Mellon UniversityIDeaS Center for Informed Democracy & Social-CyberSecurity, Carnegie Mellon UniversityAbstract As digitalization increases, countries employ digital diplomacy, harnessing digital resources to project their desired image. Digital diplomacy also encompasses the interactivity of digital platforms, providing a trove of public opinion that diplomatic agents can collect. Social media bots actively participate in political events through influencing political communication and purporting coordinated narratives to influence human behavior. This article provides a methodology towards identifying three types of bots: General Bots, News Bots and Bridging Bots, then further identify these classes of bots on Twitter during a diplomatic incident involving the United States and China. In the balloon incident that occurred in early 2023, where a balloon believed to have originated from China is spotted across the US airspace. Both countries have differing opinions on the function and eventual handling of the balloon. Using a series of computational methods, this article examines the impact of bots on the topics disseminated, the influence and the use of information maneuvers of bots within the social communication network. Among others, our results observe that all three types of bots are present across the two countries; bots geotagged to the US are generally concerned with the balloon location while those geotagged to China discussed topics related to escalating tensions; and perform different extent of positive narrative and network information maneuvers. The broader implications of our work towards policy making is the systematic identification of the type of bot users and their properties across country lines, enabling the evaluation of how automated agents are being deployed to disseminate narratives and the nature of narratives propagated, and therefore reflects the image that the country is being projected as on social media; as well as the perception of political issues by social media users.https://doi.org/10.1140/epjds/s13688-023-00440-3TwitterBotsDigital diplomacyBridgingNewsSocial media
spellingShingle Lynnette Hui Xian Ng
Kathleen M. Carley
Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident
EPJ Data Science
Twitter
Bots
Digital diplomacy
Bridging
News
Social media
title Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident
title_full Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident
title_fullStr Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident
title_full_unstemmed Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident
title_short Deflating the Chinese balloon: types of Twitter bots in US-China balloon incident
title_sort deflating the chinese balloon types of twitter bots in us china balloon incident
topic Twitter
Bots
Digital diplomacy
Bridging
News
Social media
url https://doi.org/10.1140/epjds/s13688-023-00440-3
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