Journal of quantitative description: digital media最新文献

#Asylum: How Syrian Refugees Engage with Online Information #Asylum: 叙利亚难民如何使用网络信息

Journal of quantitative description: digital media Pub Date : 2024-08-09 DOI: 10.51685/jqd.2024.013

Alexandra Siegel, Jessica Wolff, Jeremy Weinstein

{"title":"#Asylum: How Syrian Refugees Engage with Online Information","authors":"Alexandra Siegel, Jessica Wolff, Jeremy Weinstein","doi":"10.51685/jqd.2024.013","DOIUrl":"https://doi.org/10.51685/jqd.2024.013","url":null,"abstract":"Despite an emergent body of literature examining refugees' use of online tools to access information, little is known about what types of information refugees encounter or engage with. Analyzing 143,201 posts and 802,173 comments on public Arabic-language Facebook pages targeting Syrian refugees from 2013 to 2018, we systematically describe one of Syrian refugees' most popular online information ecosystems. Additionally, we use engagement and comment data to develop organic measures of refugees' interactions with different information sources. We find that posts linking to official sources of information garnered more engagement than those containing unofficial information or news media content, regardless of the topic or tone of the message. Disaggregating our data over time reveals that official sources did not receive higher levels of engagement until early 2016, when new official sources created by governments and NGOs became active online and began to more consistently provide information about salient topics from asylum to sea travel. These new official sources also produced more encouraging messages relative to older official sources, perhaps heightening their appeal. By analyzing the online prevalence, content, and popularity of diverse information sources, this work contributes to our understanding of how vulnerable populations access information in the digital age, while offering policy insights to governments and NGOs seeking to disseminate information to refugees.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"9 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923178","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}

引用次数: 0

Who Does(n't) Target You? 谁是你的目标？

Journal of quantitative description: digital media Pub Date : 2024-05-01 DOI: 10.51685/jqd.2024.010

Fabio Votta, Simon Kruschinski, Mads Hove, Natali Helberger, T. Dobber, Claes de Vreese

{"title":"Who Does(n't) Target You?","authors":"Fabio Votta, Simon Kruschinski, Mads Hove, Natali Helberger, T. Dobber, Claes de Vreese","doi":"10.51685/jqd.2024.010","DOIUrl":"https://doi.org/10.51685/jqd.2024.010","url":null,"abstract":"Political campaigns are increasingly investing in targeted advertising on social media platforms to reach voters. Despite critical implications for citizens and elections, little is known about the targeting strategies deployed by political parties — especially in countries beyond the global north. This paper provides a comprehensive descriptive analysis of political microtargeting practices on Facebook and Instagram across 95 countries during 113 national elections. By analyzing the Meta Ad Targeting dataset, we explore targeting strategies of 54k political advertisers who ran 2.5 million ads between August 2020 and December 2022. The findings indicate that election campaigns worldwide utilize targeted advertising. Most commonly, spending is allocated towards a single targeting criterion, however, in wealthier countries and electoral systems with proportional representation, a greater amount of money is spent on microtargeting by combining multiple criteria. Furthermore, targeting strategies vary along ideological lines of political parties who seek out voters more typically aligned with each side of the political spectrum. Nonetheless, parties use microtargeting irrespective of political ideology. Our findings offer the first comparative analysis of political microtargeting on Meta platforms for countries across all continents. Methodologically, we introduce a semi-automatic method to identify worldwide political advertisers using multiple data sources. Our study deepens the understanding of how country and party contexts explain differences in targeting strategies, highlighting the need for more research beyond the global north. Finally, our results have important implications for policy makers, and other stakeholders who seek to develop regulations to address the challenges posed by political microtargeting techniques.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"42 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141029985","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}

引用次数: 0

A Dataset for The Study of Online Radicalization Through Incel Forum Archives 通过 Incel 论坛档案研究网络激进化的数据集

Journal of quantitative description: digital media Pub Date : 2024-04-12 DOI: 10.51685/jqd.2024.004

Jennifer Golbeck

引用次数: 1

Detecting Misinformation: Identifying False News Spread by Political Leaders in the Global South 检测错误信息：识别全球南部政治领导人散布的假新闻

Journal of quantitative description: digital media Pub Date : 2024-01-31 DOI: 10.51685/jqd.2024.007

Valerie Wirtschafter, Frederico Batista Pereira, Natália Bueno, N. Pavão, Jo˜ao Pedro Oliveira dos Santos, Felipe Nunes

{"title":"Detecting Misinformation: Identifying False News Spread by Political Leaders in the Global South","authors":"Valerie Wirtschafter, Frederico Batista Pereira, Natália Bueno, N. Pavão, Jo˜ao Pedro Oliveira dos Santos, Felipe Nunes","doi":"10.51685/jqd.2024.007","DOIUrl":"https://doi.org/10.51685/jqd.2024.007","url":null,"abstract":"\u0000\u0000\u0000We provide and examine an approach for detecting false stories that circulate as text and without hyperlinks, which are commonly found in the Global South. Our text-based approach relies on a combination of false stories identified by fact-checkers, supervised learning methods, natural language processing, and human review. We contrast our approach with the established domain-based and with Facebook’s URL approaches by applying them in the case of Brazilian political leaders. The results show that sharing false news by politicians is a rare event: less than 1% of political leaders’ social media posts contain misinformation. However, we find little overlap across the approaches. The text-based approach leads to different conclusions about which politicians share misinformation and the type of false content shared, while demographic and political predictors of misinformation-sharing behavior are typically similar across approaches. Our approach produces fewer false positives than other approaches and only a small number of false negatives. Our results show that the text-based approach is an important complement to the dominant approaches as it is more effective at detecting false news.\u0000\u0000\u0000","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"372 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140472152","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}

引用次数: 0

@Who? Investigating Possible Errors in Studies Linking Survey and Twitter Data @谁？调查将调查数据和 Twitter 数据联系起来的研究中可能存在的错误

Journal of quantitative description: digital media Pub Date : 2024-01-19 DOI: 10.51685/jqd.2024.002

Marten Appel, Nicholas Haas

{"title":"@Who? Investigating Possible Errors in Studies Linking Survey and Twitter Data","authors":"Marten Appel, Nicholas Haas","doi":"10.51685/jqd.2024.002","DOIUrl":"https://doi.org/10.51685/jqd.2024.002","url":null,"abstract":"\u0000\u0000\u0000Expanding global usage of social media and growing questions about its societal impact have led scholars to investigate the relationship between individuals' offline and online behaviors and characteristics. Such inquiries, which compare individuals' survey responses to their social media behavior, typically do not address whether the elicitation of survey respondents' social media information introduces any systematic errors. However, making inferences from a survey-linked sample to a social media platform, and finally to a survey sample or broader target population, can be imperiled when systematic differences exist between those who provide and those who deny researchers access to their social media accounts. In this paper, we ask: Do survey respondents who say they use Twitter differ from the subset providing validated Twitter handles, as well as from the overall survey sample? Pooling across five datasets and over 31,000 respondents, we show first that samples of stated Twitter users differ from the initial survey samples from which they are drawn on several socio-demographic characteristics. Second and reassuringly as concerns possible errors due to survey-linkage, we report few systematic differences between those who say they use Twitter and those who provide validated Twitter handles. Nevertheless, we do document differences on some demographics, and we illustrate how errors could carry potential consequences for sample composition of which researchers should be aware. Finally, we conclude with a discussion of our results, their possible generalizability, and areas for future research.\u0000\u0000\u0000","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"91 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139612891","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}

引用次数: 0

"I always feel like somebody's watching me" "我总觉得有人在监视我"

Journal of quantitative description: digital media Pub Date : 2024-01-01 DOI: 10.51685/jqd.2024.001

Rachel Gibson, Esmeralda Bon, Katherine Dommett

{"title":"\"I always feel like somebody's watching me\"","authors":"Rachel Gibson, Esmeralda Bon, Katherine Dommett","doi":"10.51685/jqd.2024.001","DOIUrl":"https://doi.org/10.51685/jqd.2024.001","url":null,"abstract":"The practice of political micro-targeting (PMT) – tailoring messages for voters based on their personal data – has increased over the past two decades, particularly in the U.S. Studies of PMT have to date concentrated largely on its effects on voters, or its implications for democracy more broadly. Less attention has been given to answering basic descriptive questions about how people perceive, feel and care about this new mode of political communication. This paper fills that gap by reporting findings from an online survey (weighted to be nationally representative on age, gender, ethnicity, region and past vote) that measured public attitudes toward PMT during the 2020 U.S. Presidential campaign. Specifically, we measure voter orientations toward PMT in four key dimensions – awareness, aversion, knowledge, and acceptability at the aggregate level – and explore how these vary according to a range of individual characteristics. Key findings are that public understanding and acceptance of PMT may be higher than current studies indicate, particularly among certain sectors of the population. Such insights are important for academic research to cognize and also policy-makers, as they move toward greater regulation of voter targeting.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"35 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139128940","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}

引用次数: 0

Dialing for Videos: A Random Sample of YouTube 拨号观看视频YouTube 随机样本

Journal of quantitative description: digital media Pub Date : 2023-12-20 DOI: 10.51685/jqd.2023.022

Ryan McGrady, Kevin Zheng, Rebecca Curran, Jason Baumgartner, Ethan Zuckerman

引用次数: 0

Inequalities in Online Representation: Who Follows Their Own Member of Congress on Twitter? 在线代表的不平等：谁在 Twitter 上关注自己的国会议员？

Journal of quantitative description: digital media Pub Date : 2023-12-15 DOI: 10.51685/jqd.2023.021

Stefan McCabe, Jon Green, Pranav Goel, D. Lazer

引用次数: 0

Cracking Open the European Newsfeed 破解欧洲新闻推送

Journal of quantitative description: digital media Pub Date : 2023-12-12 DOI: 10.51685/jqd.2023.020

Luca Rossi, Fabio Giglietto, Giada Marino

引用次数: 0

Political content and news are polarized but other content is not in YouTube watch histories 政治内容和新闻是两极化的，但其他内容不在YouTube的观看历史中

Journal of quantitative description: digital media Pub Date : 2023-11-10 DOI: 10.51685/jqd.2023.018

Magdalena Wojcieszak, Rong-Ching (Anna) Chang, Ericka Menchen-Trevino

{"title":"Political content and news are polarized but other content is not in YouTube watch histories","authors":"Magdalena Wojcieszak, Rong-Ching (Anna) Chang, Ericka Menchen-Trevino","doi":"10.51685/jqd.2023.018","DOIUrl":"https://doi.org/10.51685/jqd.2023.018","url":null,"abstract":"Research on ideological biases and polarization on social media platforms primarilyfocuses on news and political content. Non-political content, which isvastly more popular, is often overlooked. Because partisanship is correlatedwith citizens’ non-political attitudes and non-political content can carry politicalcues, we explore whether ideological biases and partisan segregation extendto users’ non-political exposures online. We focus on YouTube, one of the mostpopular platforms. We rely online data from American adults (N = 2,237).From over 129 million visits to over 37 million URLs, we analyze 1,037,392visits to YouTube videos from 1,874 participants. We identify YouTube channelsof 942 news domains, utilize a BERT-based classifier to identify politicalvideos outside news channels, and estimate the ideology of all the videos inour data. We compare ideological biases in exposure to (a) news, (b) political,and (c) non-political content. We examine both exposure congeniality (i.e., areusers consuming like-minded content?) and polarization (i.e. are there overlapsbetween Democrats and Republicans in the content they consume?). Wefind substantial congeniality in the consumption of news and political videos,especially among Republicans, and high levels of polarization in this exposure(i.e., limited overlaps between Democrats and Republicans). We also showthat both exposure congeniality and polarization are significantly lower fornon-political content, in that non-political videos are less likely to be ideologicallylike-minded and both Democrats and Republicans consume similarnon-political content. Theoretical and practical implications of these findingsare discussed.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"81 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135091919","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}

引用次数: 0