2023
DOI: 10.3389/fcomm.2023.992654
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A social bot in support of crisis communication: 10-years of @LastQuake experience on Twitter

Abstract: Social media such as Facebook or Twitter are at present considered part of the communication systems of many seismological institutes, including the European–Mediterranean Seismological Center (EMSC). Since 2012, the EMSC has been operating a hybrid Twitter system named @LastQuake comprising a bot for rapid information on global felt earthquakes and their effects, which is complemented by manual moderation that provides quasi-systematic and rapid answers to users' questions, especially after damaging earthquak… Show more

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Cited by 8 publications
(13 citation statements)
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“…92 [143] A retrospective analysis of the covid-19 infodemic in Saudi Arabia 93 [144] Machine learning in detecting covid-19 misinformation on twitter 94 [145] The Towards a critical understanding of social networks for the feminist movement: Twitter and the women's strike 104 [155] YouTube as a source of information on gout: a quality analysis 105 [156] Social Media, Cognitive Reflection, and Conspiracy Beliefs 106 [157] Using machine learning to compare provaccine and antivaccine discourse among the public on social media: Algorithm development study 107 [158] A social bot in support of crisis communication: 10-years of @LastQuake experience on Twitter 108 [159] Determinants of individuals' belief in fake news: A scoping review determinants of belief in fake news 109 [160] Lack of trust, conspiracy beliefs, and social media use predict COVID-19 vaccine hesitancy 110 [161] Health information seeking behaviors on social media during the covid-19 pandemic among american social networking site users: Survey study 111 [162] Semi-automatic generation of multilingual datasets for stance detection in Twitter 112 [163] Social media content of idiopathic pulmonary fibrosis groups and pages on facebook: Cross-sectional analysis 113 [164] Collecting a large scale dataset for classifying fake news tweets usingweak supervision 114 [165] Youtube videos and informed decision-making about covid-19 vaccination: Successive sampling study 115 [166] The commonly utilized natural products during the COVID-19 pandemic in Saudi Arabia: A cross-sectional online survey 116 [167] A behavioural analysis of credulous Twitter users 117 [73] How do Canadian public health agencies respond to the COVID-19 emergency using social media: A protocol for a case study using content and sentiment analysis 118 [168] The negative role of social media during the COVID-19 outbreak 119 [169] Twitter's Role in Combating the Magnetic Vaccine Conspiracy Theory: Social Network Analysis of Tweets 120 [58] COVID-19, a tale of two pandemics: Novel coronavirus and fake news messaging 121 [170] Concerns discussed on chinese and french social media during the COVID-19 lockdown:comparative infodemiology study based on topic modeling 122 [171] Social media and medical education in the context of the COVID-19 pandemic: Scoping review 123 [172] Rumor Detection Based on SAGNN: Simplified Aggregation Graph Ne...…”
Section: Id Document Referencementioning
confidence: 99%
“…92 [143] A retrospective analysis of the covid-19 infodemic in Saudi Arabia 93 [144] Machine learning in detecting covid-19 misinformation on twitter 94 [145] The Towards a critical understanding of social networks for the feminist movement: Twitter and the women's strike 104 [155] YouTube as a source of information on gout: a quality analysis 105 [156] Social Media, Cognitive Reflection, and Conspiracy Beliefs 106 [157] Using machine learning to compare provaccine and antivaccine discourse among the public on social media: Algorithm development study 107 [158] A social bot in support of crisis communication: 10-years of @LastQuake experience on Twitter 108 [159] Determinants of individuals' belief in fake news: A scoping review determinants of belief in fake news 109 [160] Lack of trust, conspiracy beliefs, and social media use predict COVID-19 vaccine hesitancy 110 [161] Health information seeking behaviors on social media during the covid-19 pandemic among american social networking site users: Survey study 111 [162] Semi-automatic generation of multilingual datasets for stance detection in Twitter 112 [163] Social media content of idiopathic pulmonary fibrosis groups and pages on facebook: Cross-sectional analysis 113 [164] Collecting a large scale dataset for classifying fake news tweets usingweak supervision 114 [165] Youtube videos and informed decision-making about covid-19 vaccination: Successive sampling study 115 [166] The commonly utilized natural products during the COVID-19 pandemic in Saudi Arabia: A cross-sectional online survey 116 [167] A behavioural analysis of credulous Twitter users 117 [73] How do Canadian public health agencies respond to the COVID-19 emergency using social media: A protocol for a case study using content and sentiment analysis 118 [168] The negative role of social media during the COVID-19 outbreak 119 [169] Twitter's Role in Combating the Magnetic Vaccine Conspiracy Theory: Social Network Analysis of Tweets 120 [58] COVID-19, a tale of two pandemics: Novel coronavirus and fake news messaging 121 [170] Concerns discussed on chinese and french social media during the COVID-19 lockdown:comparative infodemiology study based on topic modeling 122 [171] Social media and medical education in the context of the COVID-19 pandemic: Scoping review 123 [172] Rumor Detection Based on SAGNN: Simplified Aggregation Graph Ne...…”
Section: Id Document Referencementioning
confidence: 99%
“…LastQuake is a multi-component information and crowdsourcing system consisting of a smartphone application, a website for mobile devices and a Twitter bot (Bossu et al, 2018a(Bossu et al, , 2023. The eyewitness engagement strategy is based on crowdsourced detection, where felt earthquakes are detected not by seismic data, but by the online behavior of eyewitnesses immediately after they feel the shaking.…”
Section: Emsc Servicesmentioning
confidence: 99%
“…The refactoring of the systems is the first of its kind and was long overdue. It started with a new mobile website in 2020, followed by a new version of the Twitter bot (Twitter is now called X) in February 2022 (Bossu et al, 2023). The new version of the smartphone app is currently being tested and a new desktop website was launched at the end of June 2023.…”
Section: Current Evolutionsmentioning
confidence: 99%
“…Indeed, after a significant earthquake timely information is critical in order to fill the information void and prevent false information from circulating (Fallou et al, 2020). Social media bots such as the @LastQuake initiative developed by the Euro-Mediterranean Seismological Center (EMSC) on Twitter enables the center to respond to the need for information within a few tens of seconds (Bossu et al, 2018(Bossu et al, , 2023(Bossu et al, , 2024Steed et al, 2019). By freeing itself from the constraints of human writing speed or working hours, automating the publication of part of the information guarantees fast, global and uninterrupted information.…”
Section: Introductionmentioning
confidence: 99%
“…The EMSC is one of the world's leading institutions for public seismic information offering information on earthquakes and their effects (Bossu et al, 2024). Over the years, it has developed an innovative and multi-channel earthquake information system comprising a mobile application, a desktop and mobile website, a Twitter bot, named @LastQuake, and recently a Telegram bot with the same name (Bossu et al, 2018(Bossu et al, , 2023. @LastQuake is a hybrid system comprising both automatic and manual tweets (the messages published on Twitter) about earthquakes felt around the world.…”
Section: Introductionmentioning
confidence: 99%