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...
Gespeichert in:
Veröffentlicht in: | Computers in human behavior 2016-06, Vol.59, p.334-341 |
---|---|
Hauptverfasser: | , |
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based on misinterpreted humor.•Older tweets were disseminated regardless of new facts by the same source.•Removal of outdated tweets by senders reduces the possible spread of rumors.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 |
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 |