Pub Date : 2023-01-01DOI: 10.5117/ccr2023.1.003.chan
{"title":"grafzahl: fine-tuning Transformers for\u0000text data from within R","authors":"","doi":"10.5117/ccr2023.1.003.chan","DOIUrl":"https://doi.org/10.5117/ccr2023.1.003.chan","url":null,"abstract":"","PeriodicalId":275035,"journal":{"name":"Computational Communication Research","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127491979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.5117/ccr2022.2.006.kroo
A. Kroon, T. G. van der Meer, R. Vliegenthart
{"title":"Beyond Counting Words","authors":"A. Kroon, T. G. van der Meer, R. Vliegenthart","doi":"10.5117/ccr2022.2.006.kroo","DOIUrl":"https://doi.org/10.5117/ccr2022.2.006.kroo","url":null,"abstract":"","PeriodicalId":275035,"journal":{"name":"Computational Communication Research","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123952380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.5117/ccr2022.2.008.suk
Jiyoun Suk, Josephine Lukito, Min-Hsin Su, Sang Jung Kim, Chau Tong, Zhongkai Sun, Prathusha Sarma
{"title":"Do I sound American?","authors":"Jiyoun Suk, Josephine Lukito, Min-Hsin Su, Sang Jung Kim, Chau Tong, Zhongkai Sun, Prathusha Sarma","doi":"10.5117/ccr2022.2.008.suk","DOIUrl":"https://doi.org/10.5117/ccr2022.2.008.suk","url":null,"abstract":"","PeriodicalId":275035,"journal":{"name":"Computational Communication Research","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122245040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.5117/ccr2022.2.005.jaid
Kokil Jaidka
{"title":"Talking politics: Building and validating data-driven lexica to measure political discussion quality","authors":"Kokil Jaidka","doi":"10.5117/ccr2022.2.005.jaid","DOIUrl":"https://doi.org/10.5117/ccr2022.2.005.jaid","url":null,"abstract":"","PeriodicalId":275035,"journal":{"name":"Computational Communication Research","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129383294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.5117/ccr2022.2.004.guin
Benjamin Guinaudeau, Kevin Munger, Fabio Votta
TikTok has rapidly developed from a punchline for jokes about “kids these days” into a formidable force in American politics. The speed of this development is unprecedented, even in the rapidly-changing world of digital politics. Through a combination of hashtag and snowball sampling, we identify 11,546 TikTok accounts who primarily post about politics, allowing us to analyze trends in the posting, viewing and commenting behavior on 1,998,642 tiktoks they have uploaded. We test a number of theories about how the unique combination of affordances on TikTok shapes how it is used for political communication. Compared to the dominant platform for political videos (YouTube) we find that a higher percentage of TikTok users upload videos, TikTok view counts are more dominated by virality, and viewership of videos are less dependent on a given accounts’ number of followers/subscribers. We discuss how these findings affect the production of content that ultimately determines the experience of TikTok consumers.
{"title":"Fifteen Seconds of Fame: TikTok and the Supply Side of Social Video","authors":"Benjamin Guinaudeau, Kevin Munger, Fabio Votta","doi":"10.5117/ccr2022.2.004.guin","DOIUrl":"https://doi.org/10.5117/ccr2022.2.004.guin","url":null,"abstract":"TikTok has rapidly developed from a punchline for jokes about “kids these days” into a formidable force in American politics. The speed of this development is unprecedented, even in the rapidly-changing world of digital politics. Through a combination of hashtag and snowball sampling, we identify 11,546 TikTok accounts who primarily post about politics, allowing us to analyze trends in the posting, viewing and commenting behavior on 1,998,642 tiktoks they have uploaded. We test a number of theories about how the unique combination of affordances on TikTok shapes how it is used for political communication. Compared to the dominant platform for political videos (YouTube) we find that a higher percentage of TikTok users upload videos, TikTok view counts are more dominated by virality, and viewership of videos are less dependent on a given accounts’ number of followers/subscribers. We discuss how these findings affect the production of content that ultimately determines the experience of TikTok consumers.","PeriodicalId":275035,"journal":{"name":"Computational Communication Research","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122807273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.5117/ccr2022.2.003.vrie
Erik de Vries
{"title":"The Sentiment is in the Details","authors":"Erik de Vries","doi":"10.5117/ccr2022.2.003.vrie","DOIUrl":"https://doi.org/10.5117/ccr2022.2.003.vrie","url":null,"abstract":"","PeriodicalId":275035,"journal":{"name":"Computational Communication Research","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116857300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.5117/ccr2022.1.010.bald
Joshua Baldwin, Ralf Schmälzle
Content analysis is the go-to method for understanding how social characters, such as public figures or movie characters, are portrayed in media messages. It is an indispensable method to investigate character-related media processes and effects. However, conducting large-scale content-analytic studies is a taxing and expensive endeavor that requires hours of coder training and incurs substantial costs. This problem is particularly acute for video-based media, where coders often have to take extensive time and energy to watch and interpret dynamic content. Here we present a Character-Recognition-Tool ( CRT ) that enables communication scholars to quickly process large amounts of video data to identify occurrences of specific predefined characters using facial recognition and matching. This paper presents the CRT and provides evidence for its validity. The CRT can automate the coding process of onscreen characters while following recommendations that computational tools be scalable, adaptable for novice programmers, and open source to allow for replication.
{"title":"A Character Recognition Tool for Automatic Detection of Social Characters in Visual Media Content","authors":"Joshua Baldwin, Ralf Schmälzle","doi":"10.5117/ccr2022.1.010.bald","DOIUrl":"https://doi.org/10.5117/ccr2022.1.010.bald","url":null,"abstract":"Content analysis is the go-to method for understanding how social characters, such as public figures or movie characters, are portrayed in media messages. It is an indispensable method to investigate character-related media processes and effects. However, conducting large-scale content-analytic studies is a taxing and expensive endeavor that requires hours of coder training and incurs substantial costs. This problem is particularly acute for video-based media, where coders often have to take extensive time and energy to watch and interpret dynamic content. Here we present a Character-Recognition-Tool ( CRT ) that enables communication scholars to quickly process large amounts of video data to identify occurrences of specific predefined characters using facial recognition and matching. This paper presents the CRT and provides evidence for its validity. The CRT can automate the coding process of onscreen characters while following recommendations that computational tools be scalable, adaptable for novice programmers, and open source to allow for replication.","PeriodicalId":275035,"journal":{"name":"Computational Communication Research","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132197835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.5117/ccr2022.1.006.mali
Musa Malik, F. R. Hopp, R. Weber
{"title":"Representations of Racial Minorities in Popular Movies","authors":"Musa Malik, F. R. Hopp, R. Weber","doi":"10.5117/ccr2022.1.006.mali","DOIUrl":"https://doi.org/10.5117/ccr2022.1.006.mali","url":null,"abstract":"","PeriodicalId":275035,"journal":{"name":"Computational Communication Research","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115692903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：