Proceedings of the 2017 ACM on Web Science Conference最新文献_第7页

"(Weitergeleitet von Journalistin)": The Gendered Presentation of Professions on Wikipedia (《新闻公报》):维基百科上职业的性别呈现

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-12 DOI: 10.1145/3091478.3091488

O. Zagovora, Fabian Flöck, Claudia Wagner

引用次数: 10

Pokémon Go: Impact on Yelp Restaurant Reviews 《口袋妖怪Go:对Yelp餐厅评论的影响

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-07 DOI: 10.1145/3091478.3098861

Pavan Ravikanth Kondamudi, Bradley Protano, Hamed Alhoori

引用次数: 6

Hierarchical Change Point Detection on Dynamic Networks 动态网络的分层变化点检测

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-07 DOI: 10.1145/3091478.3091493

Yu Wang, Aniket Chakrabarti, David J Sivakoff, S. Parthasarathy

引用次数: 20

Stateless Puzzles for Real Time Online Fraud Preemption 实时在线欺诈抢占的无状态谜题

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-06-05 DOI: 10.1145/3091478.3091507

Mizanur Rahman, Ruben Recabarren, Bogdan Carbunar, Dongwon Lee

{"title":"Stateless Puzzles for Real Time Online Fraud Preemption","authors":"Mizanur Rahman, Ruben Recabarren, Bogdan Carbunar, Dongwon Lee","doi":"10.1145/3091478.3091507","DOIUrl":"https://doi.org/10.1145/3091478.3091507","url":null,"abstract":"The profitability of fraud in online systems such as app markets and social networks marks the failure of existing defense mechanisms. In this paper, we propose FraudSys, a real-time fraud preemption approach that imposes Bitcoin-inspired computational puzzles on the devices that post online system activities, such as reviews and likes. We introduce and leverage several novel concepts that include (i) stateless, verifiable computational puzzles, that impose minimal performance overhead, but enable the efficient verification of their authenticity, (ii) a real-time, graph based solution to assign fraud scores to user activities, and (iii) mechanisms to dynamically adjust puzzle difficulty levels based on fraud scores and the computational capabilities of devices. FraudSys does not alter the experience of users in online systems, but delays fraudulent actions and consumes significant computational resources of the fraudsters. Using real datasets from Google Play and Facebook, we demonstrate the feasibility of FraudSys by showing that the devices of honest users are minimally impacted, while fraudster controlled devices receive daily computational penalties of up to 3,079 hours. In addition, we show that with FraudSys, fraud does not pay off, as a user equipped with mining hardware (e.g., AntMiner S7) will earn less than half through fraud than from honest Bitcoin mining.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122623707","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: 3

Factors in Recommending Contrarian Content on Social Media 在社交媒体上推荐反向内容的因素

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-05-16 DOI: 10.1145/3091478.3091515

Venkata Rama Kiran Garimella, G. D. F. Morales, A. Gionis, M. Mathioudakis

引用次数: 9

The Effect of Collective Attention on Controversial Debates on Social Media 集体关注对社交媒体争议性辩论的影响

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-05-16 DOI: 10.1145/3091478.3091486

Venkata Rama Kiran Garimella, G. D. F. Morales, A. Gionis, M. Mathioudakis

引用次数: 37

Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations 利用Facebook广告受众进行全球生活方式疾病监测:承诺与限制

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-05-11 DOI: 10.1145/3091478.3091513

Matheus Araújo, Yelena Mejova, Ingmar Weber, Fabrício Benevenuto

引用次数: 60

Ad-blocking: A Study on Performance, Privacy and Counter-measures 广告拦截:性能、隐私及对策研究

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-05-09 DOI: 10.1145/3091478.3091514

Venkata Rama Kiran Garimella, Orestis Kostakis, M. Mathioudakis

引用次数: 43

Predicting Rising Follower Counts on Twitter Using Profile Information 利用个人资料信息预测推特上关注者数量的上升

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-05-09 DOI: 10.1145/3091478.3091490

Juergen Mueller, Gerd Stumme

{"title":"Predicting Rising Follower Counts on Twitter Using Profile Information","authors":"Juergen Mueller, Gerd Stumme","doi":"10.1145/3091478.3091490","DOIUrl":"https://doi.org/10.1145/3091478.3091490","url":null,"abstract":"When evaluating the cause of one's popularity on Twitter, one thing is considered to be the main driver: Many tweets. There is debate about the kind of tweet one should publish, but little beyond tweets. Of particular interest is the information provided by each Twitter user's profile page. One of the features are the given names on those profiles. Studies on psychology and economics identified correlations of the first name to, e.g., one's school marks or chances of getting a job interview in the US. Therefore, we are interested in the influence of those profile information on the follower count. We addressed this question by analyzing the profiles of about 6 Million Twitter users. All profiles are separated into three groups: Users that have a first name, English words, or neither of both in their name field. The assumption is that names and words influence the discoverability of a user and subsequently his/her follower count. We propose a classifier that labels users who will increase their follower count within a month by applying different models based on the user's group. The classifiers are evaluated with the area under the receiver operator curve score and achieves a score above 0.800.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120962025","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: 9

The Fake News Spreading Plague: Was it Preventable? 假新闻传播瘟疫:可以预防吗?

Proceedings of the 2017 ACM on Web Science Conference Pub Date : 2017-03-20 DOI: 10.1145/3091478.3091523

Eni Mustafaraj, P. Metaxas

{"title":"The Fake News Spreading Plague: Was it Preventable?","authors":"Eni Mustafaraj, P. Metaxas","doi":"10.1145/3091478.3091523","DOIUrl":"https://doi.org/10.1145/3091478.3091523","url":null,"abstract":"In 2010, a paper entitled \"From Obscurity to Prominence in Minutes: Political Speech and Real-time search\" won the Best Paper Prize of the WebSci'10 conference. Among its findings were the discovery and documentation of what was labeled a \"Twitter bomb\", an organized effort to spread misinformation about the democratic candidate Martha Coakley through anonymous Twitter accounts. In this paper, after summarizing the details of that event, we outline the recipe of how social networks are used to spread misinformation. One of the most important steps in such a recipe is the \"infiltration\" of a community of users who are already engaged in conversations about a topic, to use them as organic spreaders of misinformation in their extended subnetworks. Then, we take this misinformation spreading recipe and indicate how it was successfully used to spread fake news during the 2016 U.S. Presidential Election. The main differences between the scenarios are the use of Facebook instead of Twitter, and the respective motivations (in 2010: political influence; in 2016: financial benefit through online advertising). After situating these events in the broader context of exploiting the Web, we seize this opportunity to address limitations of the reach of research findings and to start a conversation about how communities of researchers can in- crease their impact on real-world societal issues.","PeriodicalId":165747,"journal":{"name":"Proceedings of the 2017 ACM on Web Science Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132713053","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: 126