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Patterns of Emotional Argumentation in Twitter Discussions. / Nigmatullina, Kamilla ; Bodrunova, Svetlana S. .

Internet Science : INSCI 2018 International Workshops, Revised Selected Papers. ed. / Svetlana S. Bodrunova; at al. Springer Nature, 2019. p. 72-79 (Lecture Notes in Computer Science; Vol. 11551).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Nigmatullina, K & Bodrunova, SS 2019, Patterns of Emotional Argumentation in Twitter Discussions. in SS Bodrunova & at al. (eds), Internet Science : INSCI 2018 International Workshops, Revised Selected Papers. Lecture Notes in Computer Science, vol. 11551, Springer Nature, pp. 72-79, INSCI 2018 International Workshops, St. Petersburg, Russian Federation, 24/10/18. https://doi.org/10.1007/978-3-030-17705-8_7

APA

Nigmatullina, K., & Bodrunova, S. S. (2019). Patterns of Emotional Argumentation in Twitter Discussions. In S. S. Bodrunova, & at al. (Eds.), Internet Science : INSCI 2018 International Workshops, Revised Selected Papers (pp. 72-79). (Lecture Notes in Computer Science; Vol. 11551). Springer Nature. https://doi.org/10.1007/978-3-030-17705-8_7

Vancouver

Nigmatullina K, Bodrunova SS. Patterns of Emotional Argumentation in Twitter Discussions. In Bodrunova SS, at al., editors, Internet Science : INSCI 2018 International Workshops, Revised Selected Papers. Springer Nature. 2019. p. 72-79. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-030-17705-8_7

Author

Nigmatullina, Kamilla ; Bodrunova, Svetlana S. . / Patterns of Emotional Argumentation in Twitter Discussions. Internet Science : INSCI 2018 International Workshops, Revised Selected Papers. editor / Svetlana S. Bodrunova ; at al. Springer Nature, 2019. pp. 72-79 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{6e1f69d53774485e952f4c19a84925ef,
title = "Patterns of Emotional Argumentation in Twitter Discussions",
abstract = "The paper presents the results of an ongoing research of Twitter discussions on inter-ethnic conflicts. The case of Biryulevo bashings is already thoroughly analyzed by the research group; in this paper, we develop a qualitative method for finding patterns of emotional (irrational) argumentation, the patterns that would link emotion and argumentation. Our pilot empirical study is based on 306 tweets of 7 top non-media users; the tweets are analyzed qualitatively for the spectrum of emotions for conflict cases – sadness/sorrow, surprise/fear, anger/indignation, as well as for irony and call to action for complete reconstruction of the chains of emotions. We find that there are two patterns in tweeting strategies – broadcasting the development of the conflict and {\textquoteleft}broadcasting{\textquoteright} emotions of individuals that reflect collective ones. The total number of expressed emotions was counted, followed by reconstructing chains of emotions chronologically. There are three groups of patterns: starting and ending with neutral informing; starting and ending with one certain emotion, no clear pattern with different emotions in the start and in the end. Despite we find only a few sustainable patterns, we argue that further computational research can be done to connect the type of a top user and his/her emotional patterns.",
keywords = "Argumentation, Collective emotions, Inter-ethnic conflicts, Twitter discussions, OPINIONS",
author = "Kamilla Nigmatullina and Bodrunova, {Svetlana S.}",
note = "Nigmatullina K., Bodrunova S.S. (2019) Patterns of Emotional Argumentation in Twitter Discussions. In: Bodrunova S. et al. (eds) Internet Science. INSCI 2018. Lecture Notes in Computer Science, vol 11551. Springer, Cham; INSCI 2018 International Workshops ; Conference date: 24-10-2018 Through 26-10-2018",
year = "2019",
doi = "https://doi.org/10.1007/978-3-030-17705-8_7",
language = "English",
isbn = "9783030177041",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "72--79",
editor = "Bodrunova, {Svetlana S.} and {at al.}",
booktitle = "Internet Science",
address = "Germany",

}

RIS

TY - GEN

T1 - Patterns of Emotional Argumentation in Twitter Discussions

AU - Nigmatullina, Kamilla

AU - Bodrunova, Svetlana S.

N1 - Nigmatullina K., Bodrunova S.S. (2019) Patterns of Emotional Argumentation in Twitter Discussions. In: Bodrunova S. et al. (eds) Internet Science. INSCI 2018. Lecture Notes in Computer Science, vol 11551. Springer, Cham

PY - 2019

Y1 - 2019

N2 - The paper presents the results of an ongoing research of Twitter discussions on inter-ethnic conflicts. The case of Biryulevo bashings is already thoroughly analyzed by the research group; in this paper, we develop a qualitative method for finding patterns of emotional (irrational) argumentation, the patterns that would link emotion and argumentation. Our pilot empirical study is based on 306 tweets of 7 top non-media users; the tweets are analyzed qualitatively for the spectrum of emotions for conflict cases – sadness/sorrow, surprise/fear, anger/indignation, as well as for irony and call to action for complete reconstruction of the chains of emotions. We find that there are two patterns in tweeting strategies – broadcasting the development of the conflict and ‘broadcasting’ emotions of individuals that reflect collective ones. The total number of expressed emotions was counted, followed by reconstructing chains of emotions chronologically. There are three groups of patterns: starting and ending with neutral informing; starting and ending with one certain emotion, no clear pattern with different emotions in the start and in the end. Despite we find only a few sustainable patterns, we argue that further computational research can be done to connect the type of a top user and his/her emotional patterns.

AB - The paper presents the results of an ongoing research of Twitter discussions on inter-ethnic conflicts. The case of Biryulevo bashings is already thoroughly analyzed by the research group; in this paper, we develop a qualitative method for finding patterns of emotional (irrational) argumentation, the patterns that would link emotion and argumentation. Our pilot empirical study is based on 306 tweets of 7 top non-media users; the tweets are analyzed qualitatively for the spectrum of emotions for conflict cases – sadness/sorrow, surprise/fear, anger/indignation, as well as for irony and call to action for complete reconstruction of the chains of emotions. We find that there are two patterns in tweeting strategies – broadcasting the development of the conflict and ‘broadcasting’ emotions of individuals that reflect collective ones. The total number of expressed emotions was counted, followed by reconstructing chains of emotions chronologically. There are three groups of patterns: starting and ending with neutral informing; starting and ending with one certain emotion, no clear pattern with different emotions in the start and in the end. Despite we find only a few sustainable patterns, we argue that further computational research can be done to connect the type of a top user and his/her emotional patterns.

KW - Argumentation

KW - Collective emotions

KW - Inter-ethnic conflicts

KW - Twitter discussions

KW - OPINIONS

UR - http://www.scopus.com/inward/record.url?scp=85065306054&partnerID=8YFLogxK

U2 - https://doi.org/10.1007/978-3-030-17705-8_7

DO - https://doi.org/10.1007/978-3-030-17705-8_7

M3 - Conference contribution

SN - 9783030177041

T3 - Lecture Notes in Computer Science

SP - 72

EP - 79

BT - Internet Science

A2 - Bodrunova, Svetlana S.

A2 - at al.,

PB - Springer Nature

T2 - INSCI 2018 International Workshops

Y2 - 24 October 2018 through 26 October 2018

ER -

ID: 41014777