Self-correcting mechanisms and echo-effects in social media: An analysis of the “gunman in the newsroom” crisis

The positive and negative effects of social media in crises are currently receiving an increased amount of scholarly attention. This study focuses on Twitter users in the context of a crisis in the Netherlands on January 29, 2015. After having made a bomb threat, an armed man managed to get access t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computers in human behavior 2016-06, Vol.59, p.334-341
Hauptverfasser: Jong, Wouter, Dückers, Michel L.A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 341
container_issue
container_start_page 334
container_title Computers in human behavior
container_volume 59
creator Jong, Wouter
Dückers, Michel L.A.
description The positive and negative effects of social media in crises are currently receiving an increased amount of scholarly attention. This study focuses on Twitter users in the context of a crisis in the Netherlands on January 29, 2015. After having made a bomb threat, an armed man managed to get access to the national news broadcasting station around 8 pm, where he demanded airplay to share “an important message” with Dutch citizens. Three weeks after the terrorist attack on Charlie Hebdo in Paris, approximately 1.5 million viewers were anxious that a similar attack was taking place in the television studio. The crisis, also followed by social media users, reached a climax when armed policemen arrested the man, which was later shown on national TV. We analyzed 58,931 tweets, posted in the six hours after the incident. By examining shared facts and rumors during the gunman crisis, we identified an “echo-effect”: the dissemination of older tweets continued after the posting of new facts by the same source. Moreover, we found that two rumors were based on misinterpreted humor in Twitter messages. The study adds insight into the self-correcting mechanism of social media communities when verifying and dispelling online rumors during crises. •Crisis-related social media traffic revealed a self-correcting mechanism.•Social media rumors were verified without government involvement.•Social media rumors were based on misinterpreted humor.•Older tweets were disseminated regardless of new facts by the same source.•Removal of outdated tweets by senders reduces the possible spread of rumors.
doi_str_mv 10.1016/j.chb.2016.02.032
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1816082347</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S074756321630084X</els_id><sourcerecordid>1816082347</sourcerecordid><originalsourceid>FETCH-LOGICAL-c373t-6770e3ec90cb8e542fb0ab6636a3dc845b2aad0f41e853afde731bc7f8e60c383</originalsourceid><addsrcrecordid>eNp9kMFu1DAQhi0EEkvpA3DzkUvC2E7sFE5VRaFSJQ5tz5bjjLteJXbx7IJ664PAy_VJcLQ9c5oZ-_tHmo-xDwJaAUJ_2rV-O7ayti3IFpR8xTZiMKox-ky-ZhswnWl6reRb9o5oBwB9D3rD6Abn0PhcCvp9TPd8Qb91KdJC3KWJ1yk3GEL9JR4Tp-yjmys1RfeZn6cKufmRIvEc-H6L_Pnpz_0hLS6t9PqQ8DeVnJfnp7_cl1jR9-xNcDPh6Us9YXeXX28vvjfXP75dXZxfN14ZtW-0MYAK_Rn4ccC-k2EEN2qttFOTH7p-lM5NEDqBQ69cmNAoMXoTBtTg1aBO2Mfj3oeSfx6Q9naJ5HGeXcJ8ICsGoWGQqjMVFUfUl0xUMNiHEhdXHq0Auwq2O1sF21WwBWmr4Jr5csxgveFXxGLJR0y-qlll2inH_6T_AYjGhrU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1816082347</pqid></control><display><type>article</type><title>Self-correcting mechanisms and echo-effects in social media: An analysis of the “gunman in the newsroom” crisis</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Jong, Wouter ; Dückers, Michel L.A.</creator><creatorcontrib>Jong, Wouter ; Dückers, Michel L.A.</creatorcontrib><description>The positive and negative effects of social media in crises are currently receiving an increased amount of scholarly attention. This study focuses on Twitter users in the context of a crisis in the Netherlands on January 29, 2015. After having made a bomb threat, an armed man managed to get access to the national news broadcasting station around 8 pm, where he demanded airplay to share “an important message” with Dutch citizens. Three weeks after the terrorist attack on Charlie Hebdo in Paris, approximately 1.5 million viewers were anxious that a similar attack was taking place in the television studio. The crisis, also followed by social media users, reached a climax when armed policemen arrested the man, which was later shown on national TV. We analyzed 58,931 tweets, posted in the six hours after the incident. By examining shared facts and rumors during the gunman crisis, we identified an “echo-effect”: the dissemination of older tweets continued after the posting of new facts by the same source. Moreover, we found that two rumors were based on misinterpreted humor in Twitter messages. The study adds insight into the self-correcting mechanism of social media communities when verifying and dispelling online rumors during crises. •Crisis-related social media traffic revealed a self-correcting mechanism.•Social media rumors were verified without government involvement.•Social media rumors were based on misinterpreted humor.•Older tweets were disseminated regardless of new facts by the same source.•Removal of outdated tweets by senders reduces the possible spread of rumors.</description><identifier>ISSN: 0747-5632</identifier><identifier>EISSN: 1873-7692</identifier><identifier>DOI: 10.1016/j.chb.2016.02.032</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Communities ; Crisis ; Crisis communication ; Digital media ; Human behavior ; Live-tweeting ; Messages ; News ; Rumors ; Social media ; Social networks ; Stations ; Television ; Twitter</subject><ispartof>Computers in human behavior, 2016-06, Vol.59, p.334-341</ispartof><rights>2016 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-6770e3ec90cb8e542fb0ab6636a3dc845b2aad0f41e853afde731bc7f8e60c383</citedby><cites>FETCH-LOGICAL-c373t-6770e3ec90cb8e542fb0ab6636a3dc845b2aad0f41e853afde731bc7f8e60c383</cites><orcidid>0000-0001-9752-4852</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.chb.2016.02.032$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Jong, Wouter</creatorcontrib><creatorcontrib>Dückers, Michel L.A.</creatorcontrib><title>Self-correcting mechanisms and echo-effects in social media: An analysis of the “gunman in the newsroom” crisis</title><title>Computers in human behavior</title><description>The positive and negative effects of social media in crises are currently receiving an increased amount of scholarly attention. This study focuses on Twitter users in the context of a crisis in the Netherlands on January 29, 2015. After having made a bomb threat, an armed man managed to get access to the national news broadcasting station around 8 pm, where he demanded airplay to share “an important message” with Dutch citizens. Three weeks after the terrorist attack on Charlie Hebdo in Paris, approximately 1.5 million viewers were anxious that a similar attack was taking place in the television studio. The crisis, also followed by social media users, reached a climax when armed policemen arrested the man, which was later shown on national TV. We analyzed 58,931 tweets, posted in the six hours after the incident. By examining shared facts and rumors during the gunman crisis, we identified an “echo-effect”: the dissemination of older tweets continued after the posting of new facts by the same source. Moreover, we found that two rumors were based on misinterpreted humor in Twitter messages. The study adds insight into the self-correcting mechanism of social media communities when verifying and dispelling online rumors during crises. •Crisis-related social media traffic revealed a self-correcting mechanism.•Social media rumors were verified without government involvement.•Social media rumors were based on misinterpreted humor.•Older tweets were disseminated regardless of new facts by the same source.•Removal of outdated tweets by senders reduces the possible spread of rumors.</description><subject>Communities</subject><subject>Crisis</subject><subject>Crisis communication</subject><subject>Digital media</subject><subject>Human behavior</subject><subject>Live-tweeting</subject><subject>Messages</subject><subject>News</subject><subject>Rumors</subject><subject>Social media</subject><subject>Social networks</subject><subject>Stations</subject><subject>Television</subject><subject>Twitter</subject><issn>0747-5632</issn><issn>1873-7692</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kMFu1DAQhi0EEkvpA3DzkUvC2E7sFE5VRaFSJQ5tz5bjjLteJXbx7IJ664PAy_VJcLQ9c5oZ-_tHmo-xDwJaAUJ_2rV-O7ayti3IFpR8xTZiMKox-ky-ZhswnWl6reRb9o5oBwB9D3rD6Abn0PhcCvp9TPd8Qb91KdJC3KWJ1yk3GEL9JR4Tp-yjmys1RfeZn6cKufmRIvEc-H6L_Pnpz_0hLS6t9PqQ8DeVnJfnp7_cl1jR9-xNcDPh6Us9YXeXX28vvjfXP75dXZxfN14ZtW-0MYAK_Rn4ccC-k2EEN2qttFOTH7p-lM5NEDqBQ69cmNAoMXoTBtTg1aBO2Mfj3oeSfx6Q9naJ5HGeXcJ8ICsGoWGQqjMVFUfUl0xUMNiHEhdXHq0Auwq2O1sF21WwBWmr4Jr5csxgveFXxGLJR0y-qlll2inH_6T_AYjGhrU</recordid><startdate>201606</startdate><enddate>201606</enddate><creator>Jong, Wouter</creator><creator>Dückers, Michel L.A.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-9752-4852</orcidid></search><sort><creationdate>201606</creationdate><title>Self-correcting mechanisms and echo-effects in social media: An analysis of the “gunman in the newsroom” crisis</title><author>Jong, Wouter ; Dückers, Michel L.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-6770e3ec90cb8e542fb0ab6636a3dc845b2aad0f41e853afde731bc7f8e60c383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Communities</topic><topic>Crisis</topic><topic>Crisis communication</topic><topic>Digital media</topic><topic>Human behavior</topic><topic>Live-tweeting</topic><topic>Messages</topic><topic>News</topic><topic>Rumors</topic><topic>Social media</topic><topic>Social networks</topic><topic>Stations</topic><topic>Television</topic><topic>Twitter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jong, Wouter</creatorcontrib><creatorcontrib>Dückers, Michel L.A.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers in human behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jong, Wouter</au><au>Dückers, Michel L.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self-correcting mechanisms and echo-effects in social media: An analysis of the “gunman in the newsroom” crisis</atitle><jtitle>Computers in human behavior</jtitle><date>2016-06</date><risdate>2016</risdate><volume>59</volume><spage>334</spage><epage>341</epage><pages>334-341</pages><issn>0747-5632</issn><eissn>1873-7692</eissn><abstract>The positive and negative effects of social media in crises are currently receiving an increased amount of scholarly attention. This study focuses on Twitter users in the context of a crisis in the Netherlands on January 29, 2015. After having made a bomb threat, an armed man managed to get access to the national news broadcasting station around 8 pm, where he demanded airplay to share “an important message” with Dutch citizens. Three weeks after the terrorist attack on Charlie Hebdo in Paris, approximately 1.5 million viewers were anxious that a similar attack was taking place in the television studio. The crisis, also followed by social media users, reached a climax when armed policemen arrested the man, which was later shown on national TV. We analyzed 58,931 tweets, posted in the six hours after the incident. By examining shared facts and rumors during the gunman crisis, we identified an “echo-effect”: the dissemination of older tweets continued after the posting of new facts by the same source. Moreover, we found that two rumors were based on misinterpreted humor in Twitter messages. The study adds insight into the self-correcting mechanism of social media communities when verifying and dispelling online rumors during crises. •Crisis-related social media traffic revealed a self-correcting mechanism.•Social media rumors were verified without government involvement.•Social media rumors were based on misinterpreted humor.•Older tweets were disseminated regardless of new facts by the same source.•Removal of outdated tweets by senders reduces the possible spread of rumors.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.chb.2016.02.032</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-9752-4852</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0747-5632
ispartof Computers in human behavior, 2016-06, Vol.59, p.334-341
issn 0747-5632
1873-7692
language eng
recordid cdi_proquest_miscellaneous_1816082347
source ScienceDirect Journals (5 years ago - present)
subjects Communities
Crisis
Crisis communication
Digital media
Human behavior
Live-tweeting
Messages
News
Rumors
Social media
Social networks
Stations
Television
Twitter
title Self-correcting mechanisms and echo-effects in social media: An analysis of the “gunman in the newsroom” crisis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T12%3A05%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Self-correcting%20mechanisms%20and%20echo-effects%20in%20social%20media:%20An%20analysis%20of%20the%20%E2%80%9Cgunman%20in%20the%20newsroom%E2%80%9D%20crisis&rft.jtitle=Computers%20in%20human%20behavior&rft.au=Jong,%20Wouter&rft.date=2016-06&rft.volume=59&rft.spage=334&rft.epage=341&rft.pages=334-341&rft.issn=0747-5632&rft.eissn=1873-7692&rft_id=info:doi/10.1016/j.chb.2016.02.032&rft_dat=%3Cproquest_cross%3E1816082347%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1816082347&rft_id=info:pmid/&rft_els_id=S074756321630084X&rfr_iscdi=true