Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference最新文献

{"title":"Is There Personalization in Twitter Search? A Study on polarized opinions about the Brazilian Welfare Reform","authors":"J. Santos, S. Siqueira, B. Nunes, P. Balestrassi, F. H. S. Pereira","doi":"10.1145/3394231.3397917","DOIUrl":"https://doi.org/10.1145/3394231.3397917","url":null,"abstract":"Personalization algorithms play an essential role in the way search platforms fetch results to users. While there are many empirical studies about the effects of these algorithms on Web searches like Google and Bing, reports about personalization on social media searches are rare. This exploratory study aims to understand and quantify the limits of personalization in Twitter search results. We developed a measurement methodology and agents to train a pair of polarized Twitter accounts and simultaneously collected search results from these accounts. The agents were run in a political context, the Brazilian Welfare Reform. Our findings show a significant amount of personalization differences when we compare search results from a new fresh profile to non-fresh ones. Peculiarly, little evidence for differences between two profiles that followed different accounts with polarized viewpoints about the same topic was found – the filter bubble hypothesis cannot be null.","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"32 1","pages":"267-276"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75227293","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}

{"title":"Constructive Approach for Early Extraction of Viral Spreading Social Issues from Twitter","authors":"Jen Shiau Chou, Masanao Ochi, Takeshi Sakaki, Ken Nagahama, Kanji Sakai, Junichiro Mori, I. Sakata","doi":"10.1145/3394231.3397899","DOIUrl":"https://doi.org/10.1145/3394231.3397899","url":null,"abstract":"","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"44 1","pages":"96-105"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78149166","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}

{"title":"Prevalence and Psychological Effects of Hateful Speech in Online College Communities.","authors":"Koustuv Saha,&nbsp;Eshwar Chandrasekharan,&nbsp;Munmun De Choudhury","doi":"10.1145/3292522.3326032","DOIUrl":"https://doi.org/10.1145/3292522.3326032","url":null,"abstract":"<p><strong>Background: </strong>Hateful speech bears negative repercussions and is particularly damaging in college communities. The efforts to regulate hateful speech on college campuses pose vexing socio-political problems, and the interventions to mitigate the effects require evaluating the pervasiveness of the phenomenon on campuses as well the impacts on students' psychological state.</p><p><strong>Data and methods: </strong>Given the growing use of social media among college students, we target the above issues by studying the online aspect of hateful speech in a dataset of 6 million Reddit comments shared in 174 college communities. To quantify the prevelence of hateful speech in an online college community, we devise College Hate Index (CHX). Next, we examine its distribution across the categories of hateful speech, <i>behavior, class, disability, ethnicity, gender, physical appearance, race, religion</i>, and <i>sexual orientation</i>. We then employ a causal-inference framework to study the psychological effects of hateful speech, particularly in the form of individuals' online stress expression. Finally, we characterize their psychological endurance to hateful speech by analyzing their language- their discriminatory keyword use, and their personality traits.</p><p><strong>Results: </strong>We find that hateful speech is prevalent in college subreddits, and 25% of them show greater hateful speech than non-college subreddits. We also find that the exposure to hate leads to greater stress expression. However, everybody exposed is not equally affected; some show lower psychological endurance than others. Low endurance individuals are more vulnerable to emotional outbursts, and are more neurotic than those with higher endurance.</p><p><strong>Discussion: </strong>Our work bears implications for policy-making and intervention efforts to tackle the damaging effects of online hateful speech in colleges. From technological perspective, our work caters to mental health support provisions on college campuses, and to moderation efforts in online college communities. In addition, given the charged aspect of speech dilemma, we highlight the ethical implications of our work. Our work lays the foundation for studying the psychological impacts of hateful speech in online communities in general, and situated communities in particular (the ones that have both an offline and an online analog).</p>","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"2019 ","pages":"255-264"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3292522.3326032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38400980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotional States vs. Emotional Words in Social Media","authors":"A. Beasley, Winter A. Mason","doi":"10.1145/2786451.2786473","DOIUrl":"https://doi.org/10.1145/2786451.2786473","url":null,"abstract":"A number of social media studies have equated people's emotional states with the frequency with which they use affectively positive and negative words in their posts. We explore how such word frequencies relate to a ground truth measure of both positive and negative emotion for 515 Facebook users and 448 Twitter users. We find statistically significant but very weak (ρ in the 0.1 to 0.2 range) correlations between positive and negative emotion-related words from the Linguistic Inquiry Word Count (LIWC) dictionary and a well-validated scale of trait emotionality called the Positive and Negative Affect Schedule (PANAS). We test this for tweets and Facebook status updates, focus on different time slices around the completion of the survey, and consider participants who report expressing emotions frequently on social media. With rare exception, this pattern of low correlation persists, suggesting that for the typical user, dictionary-based sentiment analysis tools may not be sufficient to infer how they truly feel.","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72637141","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}

{"title":"Developing the 'Pro-human' Web","authors":"M. Day, L. Carr, S. Halford","doi":"10.1145/2786451.2786458","DOIUrl":"https://doi.org/10.1145/2786451.2786458","url":null,"abstract":"Questions about the power relations between individuals, corporations and governments within the Web are increasingly prevalent, introducing unique political and philosophical challenges for a platform that exists beyond nation-states and with few conventional mechanisms of control. Arising from this, a call for a 'pro-human' Web by Berners-Lee has led to a campaign to develop a 'Web We Want'. This proposes individual digital rights and responsibilities, suggesting a globalised, post-national digital reform 'for humanity'. Whilst such ambitions offer significant appeal, their scope means that a great deal of work must be done to develop them in practical terms. In this paper we suggest that an essential part of this work will be to interrogate the conceptualisations of a 'pro-human' Web, highlighting both implications and sociotechnical changes that might move us closer to a 'Web We Want'.","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72654052","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}

{"title":"Spread and Skepticism: Metrics of Propagation on Twitter","authors":"Samantha Finn, P. Metaxas, Eni Mustafaraj","doi":"10.1145/2786451.2786512","DOIUrl":"https://doi.org/10.1145/2786451.2786512","url":null,"abstract":"Social media has become part of modern news reporting, used by journalists to spread information and find sources, or as a news source by individuals. The quest for prominence and recognition on sites like Twitter can sometimes eclipse accuracy and lead to the spread of false information. Could we use the so-called \"wisdom of crowds\" to predict the likelihood that a claim may be true or false? This paper, part of ongoing research, offers evidence that most false claims do not spread like true ones, and that the reaction of the audience to a claim on Twitter is correlated with its validity.","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80339235","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}

{"title":"From Chirps to Whistles: Discovering Event-specific Informative Content from Twitter","authors":"Debanjan Mahata, J. Talburt, V. Singh","doi":"10.1145/2786451.2786476","DOIUrl":"https://doi.org/10.1145/2786451.2786476","url":null,"abstract":"Twitter has brought a paradigm shift in the way we produce and curate information about real-life events. Huge volumes of user-generated tweets are produced in Twitter, related to events. Not, all of them are useful and informative. A sizable amount of tweets are spams and colloquial personal status updates, which does not provide any useful information about an event. Thus, it is necessary to identify, rank and segregate event-specific informative content from the tweet streams. In this paper, we develop a novel generic framework based on the principle of mutual reinforcement, for identifying event-specific informative content from Twitter. Mutually reinforcing relationships between tweets, hashtags, text units, URLs and users are defined and represented using TwitterEventInfoGraph. An algorithm - TwitterEventInfoRank is proposed, that simultaneously ranks tweets, hashtags, text units, URLs and users producing them, in terms of event-specific informativeness by leveraging the semantics of relationships between each of them as represented by TwitterEventInfoGraph. Experiments and observations are reported on four million (approx) tweets collected for five real-life events, and evaluated against popular baseline techniques showing significant improvement in performance.","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88312164","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}

{"title":"Cross-Social Network Collaborative Recommendation","authors":"Aleksandr Farseev, Denis Kotkov, Alexander Semenov, J. Veijalainen, Tat-Seng Chua","doi":"10.1145/2786451.2786504","DOIUrl":"https://doi.org/10.1145/2786451.2786504","url":null,"abstract":"Online social networks have become an essential part of our daily life, and an increasing number of users are using multiple online social networks simultaneously. We hypothesize that the integration of data from multiple social networks could boost the performance of recommender systems. In our study, we perform cross-social network collaborative recommendation and show that fusing multi-source data enables us to achieve higher recommendation performance as compared to various single-source baselines.","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75087725","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}

{"title":"Assessing the Value of Social Media for Organisations: The Case for Charitable Use","authors":"Christopher Phethean, T. Tiropanis, L. Harris","doi":"10.1145/2786451.2786457","DOIUrl":"https://doi.org/10.1145/2786451.2786457","url":null,"abstract":"Social media offer opportunities for organisations of all sectors to communicate with their audiences. There is little understanding, however, of what value these services actually provide for many of these organisations. Focusing on the charitable sector, this paper brings together the results of a number of studies into a triangulation whose own results and findings are discussed, and an overall model of value assessment for social media is presented. Emphasis is placed on eliciting the motivations and aims of both the charity and their supporters, along with observing the actual behaviour that then occurs from each side. By comparing these phenomena, and appreciating how they all interact with each other, it is argued that greater understanding around how valuable a particular organisation will find social media can be obtained.","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"102 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90642269","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}

{"title":"Towards Real-time Lifetime Prediction of Information Diffusion","authors":"Io Taxidou, Anas Alzogbi, Peter M. Fischer, Christoph Schöller","doi":"10.1145/2786451.2786926","DOIUrl":"https://doi.org/10.1145/2786451.2786926","url":null,"abstract":"In this paper, we provide the first steps towards real-time, large-scale prediction of the lifetime of information diffusion processes.","PeriodicalId":93136,"journal":{"name":"Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference","volume":"98 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2015-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85763427","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}