ROBOTROLLING:
Gespeichert in:
Format: | Elektronisch E-Book |
---|---|
Sprache: | English |
Veröffentlicht: |
Riga [Latvia]
NATO Strategic Communications Centre of Excellence
2017
|
Schlagworte: | |
Online-Zugang: | BSB01 |
Beschreibung: | Two in three Twitter users who write in Russian about the NATO presence in Eastern Europe are robotic or 'bot' accounts. Together, these accounts created 84% of the total Russian-language messages. The English language space is also heavily affected: 1 in 4 active accounts were likely automated and were responsible for 46% of all English-language content. Of the four states considered-Estonia, Latvia, Lithuania, and Poland-Estonia has disproportionately frequently been targeted by bots, whereas Poland and Lithuania have seen the least automated activity. Our impression is that Twitter in Russian is policed less effectively than it is in English. Despite the high presence of automated activity, the period considered saw no large-scale, coordinated robotic campaigns. The vast majority of bot activity is apolitical spam. For this reason, the polluted state of Twitter conversations about the NATO presence may be indicative of Twitter as a whole. The implications are stark: the democratising possibilities of social media appear-at least in the case of Twitter in Russia-to have been greatly undermined. The findings presented have practical implications for any policy maker, journalist, or analyst who measures activity on Twitter. Failure to account for bot activity will-at best-result in junk statistics. This is the first issue of 'Robotrolling', a regular product about automation in social media published quarterly by NATO StratCom COE. |
Beschreibung: | 1 Online-Ressource(1 p. 6) |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV048261727 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 220609s2017 |||| o||u| ||||||eng d | ||
035 | |a (ZDB-45-CGR)ceeol660392 | ||
035 | |a (OCoLC)1334035739 | ||
035 | |a (DE-599)BVBBV048261727 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-12 | ||
084 | |a OST |q DE-12 |2 fid | ||
245 | 1 | 0 | |a ROBOTROLLING |c Specified No Author |
264 | 1 | |a Riga [Latvia] |b NATO Strategic Communications Centre of Excellence |c 2017 | |
264 | 2 | |a Frankfurt M. |b CEEOL |c 2017 | |
300 | |a 1 Online-Ressource(1 p. 6) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Two in three Twitter users who write in Russian about the NATO presence in Eastern Europe are robotic or 'bot' accounts. Together, these accounts created 84% of the total Russian-language messages. The English language space is also heavily affected: 1 in 4 active accounts were likely automated and were responsible for 46% of all English-language content. Of the four states considered-Estonia, Latvia, Lithuania, and Poland-Estonia has disproportionately frequently been targeted by bots, whereas Poland and Lithuania have seen the least automated activity. Our impression is that Twitter in Russian is policed less effectively than it is in English. Despite the high presence of automated activity, the period considered saw no large-scale, coordinated robotic campaigns. The vast majority of bot activity is apolitical spam. For this reason, the polluted state of Twitter conversations about the NATO presence may be indicative of Twitter as a whole. The implications are stark: the democratising possibilities of social media appear-at least in the case of Twitter in Russia-to have been greatly undermined. The findings presented have practical implications for any policy maker, journalist, or analyst who measures activity on Twitter. Failure to account for bot activity will-at best-result in junk statistics. This is the first issue of 'Robotrolling', a regular product about automation in social media published quarterly by NATO StratCom COE. | ||
650 | 4 | |a Politics | |
650 | 4 | |a Media studies | |
650 | 4 | |a Communication studies | |
650 | 4 | |a Evaluation research | |
650 | 4 | |a ICT Information and Communications Technologies | |
912 | |a ZDB-45-CGR | ||
940 | 1 | |n oe | |
940 | 1 | |q BSB_OE_CEEOL | |
999 | |a oai:aleph.bib-bvb.de:BVB01-033641930 | ||
966 | e | |u https://www.ceeol.com/search/gray-literature-detail?id=660392 |l BSB01 |p ZDB-45-CGR |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1804184065215037440 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
building | Verbundindex |
bvnumber | BV048261727 |
collection | ZDB-45-CGR |
ctrlnum | (ZDB-45-CGR)ceeol660392 (OCoLC)1334035739 (DE-599)BVBBV048261727 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02621nmm a2200385zc 4500</leader><controlfield tag="001">BV048261727</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220609s2017 |||| o||u| ||||||eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-45-CGR)ceeol660392</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1334035739</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048261727</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">OST</subfield><subfield code="q">DE-12</subfield><subfield code="2">fid</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">ROBOTROLLING</subfield><subfield code="c">Specified No Author</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Riga [Latvia]</subfield><subfield code="b">NATO Strategic Communications Centre of Excellence</subfield><subfield code="c">2017</subfield></datafield><datafield tag="264" ind1=" " ind2="2"><subfield code="a">Frankfurt M.</subfield><subfield code="b">CEEOL</subfield><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource(1 p. 6)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Two in three Twitter users who write in Russian about the NATO presence in Eastern Europe are robotic or 'bot' accounts. Together, these accounts created 84% of the total Russian-language messages. The English language space is also heavily affected: 1 in 4 active accounts were likely automated and were responsible for 46% of all English-language content. Of the four states considered-Estonia, Latvia, Lithuania, and Poland-Estonia has disproportionately frequently been targeted by bots, whereas Poland and Lithuania have seen the least automated activity. Our impression is that Twitter in Russian is policed less effectively than it is in English. Despite the high presence of automated activity, the period considered saw no large-scale, coordinated robotic campaigns. The vast majority of bot activity is apolitical spam. For this reason, the polluted state of Twitter conversations about the NATO presence may be indicative of Twitter as a whole. The implications are stark: the democratising possibilities of social media appear-at least in the case of Twitter in Russia-to have been greatly undermined. The findings presented have practical implications for any policy maker, journalist, or analyst who measures activity on Twitter. Failure to account for bot activity will-at best-result in junk statistics. This is the first issue of 'Robotrolling', a regular product about automation in social media published quarterly by NATO StratCom COE.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Politics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Media studies</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Communication studies</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Evaluation research</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ICT Information and Communications Technologies</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-45-CGR</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="n">oe</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">BSB_OE_CEEOL</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033641930</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://www.ceeol.com/search/gray-literature-detail?id=660392</subfield><subfield code="l">BSB01</subfield><subfield code="p">ZDB-45-CGR</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV048261727 |
illustrated | Not Illustrated |
index_date | 2024-07-03T19:59:34Z |
indexdate | 2024-07-10T09:33:25Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033641930 |
oclc_num | 1334035739 |
open_access_boolean | |
owner | DE-12 |
owner_facet | DE-12 |
physical | 1 Online-Ressource(1 p. 6) |
psigel | ZDB-45-CGR BSB_OE_CEEOL |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | NATO Strategic Communications Centre of Excellence |
record_format | marc |
spelling | ROBOTROLLING Specified No Author Riga [Latvia] NATO Strategic Communications Centre of Excellence 2017 Frankfurt M. CEEOL 2017 1 Online-Ressource(1 p. 6) txt rdacontent c rdamedia cr rdacarrier Two in three Twitter users who write in Russian about the NATO presence in Eastern Europe are robotic or 'bot' accounts. Together, these accounts created 84% of the total Russian-language messages. The English language space is also heavily affected: 1 in 4 active accounts were likely automated and were responsible for 46% of all English-language content. Of the four states considered-Estonia, Latvia, Lithuania, and Poland-Estonia has disproportionately frequently been targeted by bots, whereas Poland and Lithuania have seen the least automated activity. Our impression is that Twitter in Russian is policed less effectively than it is in English. Despite the high presence of automated activity, the period considered saw no large-scale, coordinated robotic campaigns. The vast majority of bot activity is apolitical spam. For this reason, the polluted state of Twitter conversations about the NATO presence may be indicative of Twitter as a whole. The implications are stark: the democratising possibilities of social media appear-at least in the case of Twitter in Russia-to have been greatly undermined. The findings presented have practical implications for any policy maker, journalist, or analyst who measures activity on Twitter. Failure to account for bot activity will-at best-result in junk statistics. This is the first issue of 'Robotrolling', a regular product about automation in social media published quarterly by NATO StratCom COE. Politics Media studies Communication studies Evaluation research ICT Information and Communications Technologies |
spellingShingle | ROBOTROLLING Politics Media studies Communication studies Evaluation research ICT Information and Communications Technologies |
title | ROBOTROLLING |
title_auth | ROBOTROLLING |
title_exact_search | ROBOTROLLING |
title_exact_search_txtP | ROBOTROLLING |
title_full | ROBOTROLLING Specified No Author |
title_fullStr | ROBOTROLLING Specified No Author |
title_full_unstemmed | ROBOTROLLING Specified No Author |
title_short | ROBOTROLLING |
title_sort | robotrolling |
topic | Politics Media studies Communication studies Evaluation research ICT Information and Communications Technologies |
topic_facet | Politics Media studies Communication studies Evaluation research ICT Information and Communications Technologies |