國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Disinformation in open online medias...

(1998 :)

Disinformation in open online mediasecond Multidisciplinary International Symposium, MISDOOM 2020, Leiden, the Netherlands, October 26-27, 2020 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Disinformation in open online mediaedited by Max van Duijn ... [et al.].
其他題名:	second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, the Netherlands, October 26-27, 2020 : proceedings /
其他題名:	MISDOOM 2020
其他作者:	Duijn, Max van.
團體作者:
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	x, 277 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	DisinformationHandbooks, manuals, etc.
電子資源:	https://doi.org/10.1007/978-3-030-61841-4
ISBN:	9783030618414$q(electronic bk.)

Disinformation in open online mediasecond Multidisciplinary International Symposium, MISDOOM 2020, Leiden, the Netherlands, October 26-27, 2020 : proceedings /
Disinformation in open online mediasecond Multidisciplinary International Symposium, MISDOOM 2020, Leiden, the Netherlands, October 26-27, 2020 : proceedings /[electronic resource] :MISDOOM 2020edited by Max van Duijn ... [et al.]. - Cham :Springer International Publishing :2020. - x, 277 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,122590302-9743 ;. - Lecture notes in computer science ;4891..

Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets -- How Fake News Affect Trust in the Output of a Machine Learning System for News Curation -- A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning -- Misinformation from Chinese Web-based Newspapers? Machine Computational Analysis of Metabolic Disease Burden -- Students Assessing Digital News and Misinformation -- Defend Your Enemy. A Qualitative Study on Defending Political Opponents Against Hate Speech Online -- Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting -- Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models -- Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action -- Fake News Detection on Twitter Using Propagation Structures -- #ArsonEmergency and Australia's "Black Summer": Polarisation and Misinformation on Social Media -- How Identity and Uncertainty Affect Online Social Influence: An Agent-Based Approach -- Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results -- On the Robustness of Rating Aggregators Against Injection Attacks -- FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News -- Combating Disinformation: Effects of Timing and Correction Format on Factual Knowledge and Personal Beliefs -- Near Real-Time Detection of Misinformation on Online Social Networks -- Multi-modal Analysis of Misleading Political News.

This book constitutes the refereed proceedings of the Second Multidisciplinary International Symposium, MISDOOM 2020, held in Leiden, The Netherlands, in October 2020.* The 18 full papers were carefully reviewed and selected from 23 submissions. The papers deal with the interdisciplinary field of computational social science, and in particular with the automated detection and combat of misinformation using modern techniques from machine learning, text mining, and social network analysis. * The conference was held virtually due to the COVID-19 pandemic. Chapters "Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models" and "Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

ISBN: 9783030618414$q(electronic bk.)

Standard No.: 10.1007/978-3-030-61841-4doiSubjects--Topical Terms:

838846
Disinformation
--Handbooks, manuals, etc.

LC Class. No.: JF1525.P8 / M577 2020

Dewey Class. No.: 303.375

Disinformation in open online mediasecond Multidisciplinary International Symposium, MISDOOM 2020, Leiden, the Netherlands, October 26-27, 2020 : proceedings /
LDR:03864nmm a2200361 a 4500 001 588795
003 DE-He213
005 20201020114311.0
006 m d
007 cr nn 008maaau
008 210525s2020 sz s 0 eng d
020 $a 9783030618414$q(electronic bk.)
020 $a 9783030618407$q(paper)
024 7 $a 10.1007/978-3-030-61841-4 $2 doi
035 $a 978-3-030-61841-4
040 $a GP $c GP
041 0 $a eng
050 4 $a JF1525.P8 $b M577 2020
072 7 $a UT $2 bicssc
072 7 $a COM069000 $2 bisacsh
072 7 $a UT $2 thema
082 0 4 $a 303.375 $2 23
090 $a JF1525.P8 $b M678 2020
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Disinformation in open online media $h [electronic resource] : $b second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, the Netherlands, October 26-27, 2020 : proceedings / $c edited by Max van Duijn ... [et al.].
246 3 $a MISDOOM 2020
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a x, 277 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 12259
490 1 $a Information systems and applications, incl. internet/web, and HCI
505 0 $a Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets -- How Fake News Affect Trust in the Output of a Machine Learning System for News Curation -- A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning -- Misinformation from Chinese Web-based Newspapers? Machine Computational Analysis of Metabolic Disease Burden -- Students Assessing Digital News and Misinformation -- Defend Your Enemy. A Qualitative Study on Defending Political Opponents Against Hate Speech Online -- Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting -- Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models -- Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action -- Fake News Detection on Twitter Using Propagation Structures -- #ArsonEmergency and Australia's "Black Summer": Polarisation and Misinformation on Social Media -- How Identity and Uncertainty Affect Online Social Influence: An Agent-Based Approach -- Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results -- On the Robustness of Rating Aggregators Against Injection Attacks -- FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News -- Combating Disinformation: Effects of Timing and Correction Format on Factual Knowledge and Personal Beliefs -- Near Real-Time Detection of Misinformation on Online Social Networks -- Multi-modal Analysis of Misleading Political News.
520 $a This book constitutes the refereed proceedings of the Second Multidisciplinary International Symposium, MISDOOM 2020, held in Leiden, The Netherlands, in October 2020.* The 18 full papers were carefully reviewed and selected from 23 submissions. The papers deal with the interdisciplinary field of computational social science, and in particular with the automated detection and combat of misinformation using modern techniques from machine learning, text mining, and social network analysis. * The conference was held virtually due to the COVID-19 pandemic. Chapters "Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models" and "Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
650 0 $a Disinformation $v Handbooks, manuals, etc. $3 838846
650 0 $a Internet $x Political aspects $v Case studies. $3 446128
650 0 $a Online social networks $v Congresses. $3 387148
650 0 $a Soft computing $v Congresses. $3 387156
650 1 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Applications. $3 273760
650 2 4 $a Computing Milieux. $3 275270
650 2 4 $a Computer Systems Organization and Communication Networks. $3 273709
700 1 $a Duijn, Max van. $3 880353
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Information systems and applications, incl. internet/web, and HCI. $3 822022
856 4 0 $u https://doi.org/10.1007/978-3-030-61841-4
950 $a Computer Science (SpringerNature-11645)