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LDR
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000001331151
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20201219145449
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201215t20202020caua ob f000 0 engd
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020
▼a 9781977403797
-
020
▼z 1977403794
-
040
▼a AWC
▼b eng
▼c AWC
▼d OCLCF
▼e pn
▼e rda
▼d 243002 -
090
▼a 303.483
▼b M314d -
100
▼a Marcellino, William,
▼e author. -
245
▼a Detecting malign or subversive information efforts over social media:
▼b scalable analytics for early warning/
▼d William Marcellino,
▼e Krystyna Marcinek,
▼e Stephanie Pezard,
▼e Miriam Matthews. -
260
▼a Santa Monica, California:
▼b RAND Corporation,
▼c [2020]. -
300
▼a xiii, 52 p.:
▼b color illustrations;
▼c 23 cm. -
490
▼a Research report;
▼v RR-4192-EUCOM -
500
▼a Series from web site.
-
504
▼a Includes bibliographical references (pages 49-52).
-
505
▼a Preface -- Summary -- Introduction : detecting malign or subversive information efforts over social media -- Analytic methods : a template for detecting malign or subversive information campaigns -- Findings : a case study in detecting Russian malign or subversive information efforts during the 2018 Fédération Internationale de Football Association World Cup -- Recommendations and the way ahead.
-
520
▼a "The United States has a capability gap in detecting malign or subversive information campaigns before these campaigns substantially influence the attitudes and behaviors of large audiences. Although there is ongoing research into detecting parts of such campaigns (e.g., compromised accounts and "fake news" stories), this report addresses a novel method to detect whole efforts. The authors adapted an existing social media analysis method, combining network analysis and text analysis to map, visualize, and understand the communities interacting on social media. As a case study, they examined whether Russia and its agents might have used Russia's hosting of the 2018 World Cup as a launching point for malign and subversive information efforts. The authors analyzed approximately 69 million tweets, in three languages, about the World Cup in the month before and the month after the event, and they identified what appear to be two distinct Russian information efforts, one aimed at Russian-speaking and one at French-speaking audiences. Notably, the latter specifically targeted the populist gilets jaunes (yellow vests) movement; detecting this effort months before it made headlines illustrates the value of this method. To help others use and develop the method, the authors detail the specifics of their analysis and share lessons learned. Outside entities should be able to replicate the analysis in new contexts with new data sets. Given the importance of detecting malign information efforts on social media, it is hoped that the U.S. government can efficiently and quickly implement this or a similar method" -- Publisher's web site.
-
588
▼a Description based on online resource; title from PDF title page (RAND, viewed March 25, 2020).
-
650
▼a Cyberspace operations (Military science)
-
650
▼a Information warfare
▼z Russia (Federation) -
650
▼a Cyberspace operations (Military science)
▼2 fast
▼0 (OCoLC)fst01909446 -
650
▼a Information warfare.
▼2 fast
▼0 (OCoLC)fst00973186 -
651
▼a Russia (Federation)
▼0 (OCoLC)fst01262050
▼2 fast -
700
▼a Marcinek, Krystyna,
▼e author. -
700
▼a Pézard, Stéphanie,
▼e author. -
700
▼a Matthews, Miriam,
▼e author. -
710
▼a Rand Corporation,
▼e publisher. -
830
▼a Research report (Rand Corporation);
▼v RR-4192-EUCOM. -
990
▼a 송미영
-
991
▼a 단행본
-
LDR
- 바구니담기
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상세정보
Detecting malign or subversive information efforts over social media : scalable analytics for early warning
QR코드| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781977403797 |
| ISBN : | |
| 분류기호 : | 303.483 |
| 개인저자 : | Marcellino, William, author. |
| 서명/저자사항 : | Detecting malign or subversive information efforts over social media: scalable analytics for early warning/ William Marcellino, Krystyna Marcinek, Stephanie Pezard, Miriam Matthews. |
| 발행사항 : | Santa Monica, California: RAND Corporation, [2020]. |
| 형태사항 : | xiii, 52 p.: color illustrations; 23 cm. |
| 총서사항 : | Research report; RR-4192-EUCOM |
| 일반주기 : | Series from web site. |
| 서지주기 : | Includes bibliographical references (pages 49-52). |
| 내용주기 : | Preface -- Summary -- Introduction : detecting malign or subversive information efforts over social media -- Analytic methods : a template for detecting malign or subversive information campaigns -- Findings : a case study in detecting Russian malign or subversive information efforts during the 2018 Fédération Internationale de Football Association World Cup -- Recommendations and the way ahead. |
| 요약 : | "The United States has a capability gap in detecting malign or subversive information campaigns before these campaigns substantially influence the attitudes and behaviors of large audiences. Although there is ongoing research into detecting parts of such campaigns (e.g., compromised accounts and "fake news" stories), this report addresses a novel method to detect whole efforts. The authors adapted an existing social media analysis method, combining network analysis and text analysis to map, visualize, and understand the communities interacting on social media. As a case study, they examined whether Russia and its agents might have used Russia's hosting of the 2018 World Cup as a launching point for malign and subversive information efforts. The authors analyzed approximately 69 million tweets, in three languages, about the World Cup in the month before and the month after the event, and they identified what appear to be two distinct Russian information efforts, one aimed at Russian-speaking and one at French-speaking audiences. Notably, the latter specifically targeted the populist gilets jaunes (yellow vests) movement; detecting this effort months before it made headlines illustrates the value of this method. To help others use and develop the method, the authors detail the specifics of their analysis and share lessons learned. Outside entities should be able to replicate the analysis in new contexts with new data sets. Given the importance of detecting malign information efforts on social media, it is hoped that the U.S. government can efficiently and quickly implement this or a similar method" -- Publisher's web site. |
| 일반주제명 : | Cyberspace operations (Military science) -- |
| 일반주제명 : | Information warfare -- Russia (Federation) -- |
| 일반주제명 : | Cyberspace operations (Military science) -- |
| 일반주제명 : | Information warfare. -- |
| 주제명(지명) : | Russia (Federation) fast |
| 개인저자 : | Marcinek, Krystyna, author. |
| 개인저자 : | Pézard, Stéphanie, author. |
| 개인저자 : | Matthews, Miriam, author. |
| 단체저자명 : | Rand Corporation, publisher. |
| 언어 | 영어 |
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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