Manas Gaur is currently a Ph.D. Student in Artificial Intelligence Institute at the University of South Carolina. Several recent studies of online social networking platforms have found that adoption rates and engagement levels are positively correlated with structural diversity, the degree of heterogeneity among an individual's contacts as measured by network ties. Communal quirks and circlejerks: Processes contributing to insularity in online communities. We conduct interviewswith self-identified social justice activists and analyzeseven weeks of their Twitter timeline and retweets. In this work, we conduct a large-scale language analysis of public online discussions of breaking news events on Facebook and Twitter, focusing on five recent crisis events. An approximate timeline of the activities, including submission deadlines and evaluation. Social Science and Sociophysics Track Measuring Edge Sparsity on Large Social Networks. (All deadlines are on 23:59:59 Anywhere on Earth), Oana Balalau, Katherine Ognyanova, and Daniel Romero(ICWSM-2021 Workshop Chairs | workshops@icwsm.org). We demonstrate that model performance vary considerably based on i) dataset, ii) evaluation archetype, and iii) performance metrics. To better understand image content distinguishing liberal from conservative images, we also performed in-depth content analyses on the photographs. Next, we measure which assessments of credibility, impartiality, and journalistic integrity correspond to social media readers’ choices of news sources, and uncover the multifaceted structure of the social news sphere. Researchers who wish to submit full papers without publication in the conference proceedings, may designate their submission as 'social sciences and sociophysics (not for publication)'. Students will be required to submit proof of student status during the registration process. At the discretion of the Senior PC member handling the paper, the revised version may be sent back to some or all of the original reviewers for comment and evaluation, and may also be sent to additional reviewers. We propose a process and explore challenges bridging qualitative themes to user models, for both operationalization of themes to taxonomies and the use of these taxonomies in constructing classification models. These mobile messaging platforms can have deceivingly large user bases, and in addition to being a way for people to stay in touch, are often used to organize social movements, as well as a place for extremists and other ne’er-do-well to congregate. Apply here. To better understand and analyse these individuals, we propose to exploit properties of word embeddings that group related concepts close to each other in the embeddings space. Authors need to include a discussion about ethical considerations related to the collection and use of their datasets. Researchers who do wish to publish their papers in the ICWSM proceedings should submit to the regular track. Having reliable and up-to-date poverty data is a prerequisite for monitoring the United Nations Sustainable Development Goals (SDGs) and for planning effective poverty reduction interventions. International Conference on Social Media, Wearable and Web Analytics (Social Media 2021), an international refereed conference, is dedicated to the advancement of social media, security of social media, and consequential impacts and risks due to compromise or security breaches. This year, ICWSM will be a fully online virtual conference held between June 7-10, 2021. Jan 1, 2021 - Jan 1, 2021. In response to the ongoing health crisis, your organizing committee has been working to put together an engaging, accessible, online program for ICWSM. The tutorial concludes with an exploration of open challenges and future directions for stance detection on social media. Anonymity: ICWSM-2021 review is double-blind. Such solutions are either inefficient, because they require solving a complex optimization problem; or fragile, because they were not designed with this problem in mind. Most of the available techniques for keyword-based image search on the web use the text in the surrounding or linked text in order to retrieve related images. Photo credit: Eyatan Adar. Social computing researchers increasingly need to question the nature of "truth" in our day-to-day work. Despite sampling rates having clear temporal variations, we find that the Bernoulli process with a uniform rate well approximates Twitter data sampling, and it allows to estimate the ground-truth entity frequency and ranking with the observed sample data. Identify the specific issues and research questions the workshop will focus on, with a brief discussion of why the topic is of particular interest at this time and for which research communities. Proposal submissions should include the following information: Proposals should be submitted in PDF to the submission email (tutorials@icwsm.org). Virgilio was one of the commissioners of the Global Commission for the Stability of Cyberspace. By constructing two complete tweet streams, we show that Twitter rate limit message is an accurate measure for the volume of missing tweets. We address this question by developing a large-scale experimental setting in the form of a two-player online game that allows us to track the confidence of individuals in naturally-occurring online collaborative tasks. The International AAAI Conference on Web and Social Media (ICWSM) is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media. However, the performance of detecting fake news only from news content is generally limited as fake news pieces are written to mimic true news. Propagation models for trust and distrust in social networks. We conduct spatial and temporal analysis on a city-level and understand how distracted driving content posting behavior changes due to varied demographics. While researchers have developed rigorous practices for offline housing audits to enforce the US Fair Housing Act, the online world lacks similar practices. Authors who receive the "Accept" recommendation will have the opportunity to respond to reviewer suggestions by making minor edits when preparing the camera-ready version. As a Research Scientist at the MIT Center for Civic Media, Rahul serves as Chief Technology Officer for Media Cloud. A Benchmark Dataset of Check-worthy Factual Claims, Fatma Arslan, Naeemul Hassan, Chengkai Li, Mark Tremayne. Registrants can ask questions before the session via Slack and during the session via Zoom. We appreciate your patience and support as we figure out all the technical details. This work provides a framework for both understanding an intriguing linguistic phenomena and for building hate-speech filters that could catch novel words that would bypass traditional hate speech detection approaches. His work focuses on the intersections of computing technology, race, inequality, and racial justice activism. For more details, please visit the tutorial website. ": An Empirical Analysis of Soft Moderation Interventions on Twitter, CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms, Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos, Under the Spotlight: Web Tracking in Indian Partisan News Websites, Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal, Sangeeta Mahapatra, Shounak Set, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis, Political Discussion is Abundant in Non-political Subreddits (and Less Toxic), Ashwin Rajadesingan, Ceren Budak, Paul Resnick, Understanding the Use of Fauxtography on Social Media, Yuping Wang, Fatemeh Tahmasbi, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, David Magerman, Savvas Zannettou, Gianluca Stringhini, Representation of music creators on Wikipedia, differences in gender and genre, Alice Wang, Aasish Pappu, Henriette Cramer, Global Gender Differences in Wikipedia Readership, Isaac Johnson, Florian Lemmerich, Diego Sáez-Trumper, Robert West, Markus Strohmaier, Leila Zia, Coordinated Behavior on Social Media in 2019 UK General Election, Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti, Stefano Cresci, Maurizio Tesconi, Partisan Responses to Fact-Checking in Online News Platforms: Evidence from a Political Rumor about the North Korean Leader, Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning, Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, Wei Wang, An Embedding-based Joint Sentiment-Topic Model for Short Texts, Ayan Sengupta, William Scott Paka, Suman Roy, Gaurav Ranjan, Tanmoy Chakraborty, Towards Emotion- and Time-Aware Classification of Tweets to Assist Human Moderation for Suicide Prevention, Ramit Sawhney, Harshit Joshi, Alicia Nobles, Rajiv Ratn Shah, User Identity Linkage for Different Behavioral Patterns across Domains, RAFFMAN: Measuring and analyzing sentiment in online political forum discussions, with an application to the Trump impeachment, Jakapun Tachaiya, Joobin Gharibshah, Kevin E. Esterling, Michalis Faloutsos, More than meets the tie: Examining the Role of Interpersonal Relationships in Social Networks, Minje Choi, Ceren Budak, Daniel M. Romero, David Jurgens, RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns from Multi-modal Data, Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos, Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat, Qi Yang, Weinan Wang, Lucas Pierce, Rajan Vaish, Xiaolin Shi, Neil Shah, Exercise? This will be enabled by fostering collaboration and exchange of ideas in a structured setting. We employ IRL to infer a set of online incentives that may steer user behavior, which in turn highlights behavioral differences between troll and non-troll accounts, enabling their accurate classification. We introduce the concepts of edge spillover probability and cluster matching and demonstrate their importance for designing network A/B testing. The traditional way for that is relying on clinical consultations or answering questionnaires. We propose a model for the synthetic generation of information cascades in social media. Furthermore, algorithmic curation featured more ``soft news'' about celebrities and entertainment, while editorial curation featured more news about policy and international events. A two/three paragraph description of the workshop topic and themes. The news media plays a particular role in this process by continuously covering the state of the race. Social innovation and effecting change through social media, Social media usage on mobile devices; location, human mobility, and behavior, Organizational and group behavior mediated by social media; interpersonal communication mediated by social media, Social networking sites (e.g., Facebook, LinkedIn), Wiki-based knowledge sharing sites (e.g., Wikipedia), Social news sites and websites of news media (e.g., Huffington Post), Community media sites (e.g., YouTube, Flickr, Instagram), Social Q&A sites (e.g., Quora, Yahoo Answers), Social curation sites (e.g., Reddit, Pinterest), Location-based social networks (e.g., Foursquare), 1st Full-paper Deadline: May 15, 2021 (by 23:59 PM, 2nd Full-paper Deadline: September 15, 2021 (by 23:59 PM Anywhere on Earth) (New submissions, and R&Rs from May 2021 submissions) [Notifications: Nov 15, 2021], 3rd Full-paper Deadline: January 15, 2022 (by 23:59 PM Anywhere on Earth) (New submissions, and R&Rs from Sep 2021 submissions) [Notifications: Mar 15, 2022]. In addition to the raw data, we also provide the source code used to collect it, allowing researchers to run their own data collection instance. As we seek to grow and mature further, it is important to reflect on where we are now and whether there are opportunities to improve our global equity and diversity efforts. Her main research interests consist of online political subcultures, the lesser-known online spaces, and platforms as well as scrutiny of research tools and techniques. We create a new version of the model,based on observations from influence analysis on a large scale dataset, to match the scalability needs and the purpose of influence maximization.The second part capitalizes on the learned representations to redefine the traditional live-edge model sampling for the computation of the marginal gain.For evaluation, we apply our method in the Sina Weibo and MAG-CS datasets, two large scale networks acompanied by diffusion cascades.We observe that our algorithm outperforms various baseline methods in terms of seed set quality and speed. The 14th annual International Conference on Web and Social Media (AAAI ICWSM) will be held in June 2019 in Atlanta, USA. Towards Automated Sexual Violence Report Tracking, Naeemul Hassan, Amrit Poudel, Jason Hale, Claire Hubacek, Khandakar Tasnim Huq, Shubhra Kanti Karmaker Santu, Syed Ishtiaque Ahmed. The organizers encourage workshops that promote different types of activities, including challenges, games, and brainstorming, and networking sessions. By doing so we add to a small but growing body of literature inspecting the true utility of interpretable machine learning in terms of human outcomes. Pawan Goyal is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). In this paper we present the ClaimBuster dataset of 23,533 statements extracted from all U.S. general election presidential debates and annotated by human coders. All submitted papers, whether targeted for publication or not, will be judged according to the same acceptance criteria. As part of the requirements for accepting a grant, students will be asked to assist ICWSM organizers before and during the conference for a few hours. Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation, Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu. For more details, please visit: ICWSM-2020 Data Challenge Website, Surya Kallumadi, Srijan Kumar, and Diyi Yang(ICWSM-2020 Data Challenge Chairs). Nowadays, Internet is a primary source of attaining health information. Katie Shilton is an associate professor in Information Studies at University of Maryland. A notable form of abuse in WhatsApp relies on several manipulated images and memes containing all kinds of fake stories. Mental disorders such as depression and anxiety have been increasing at alarming rates in the worldwide population. Rahul Bhargava is a researcher and technologist specializing in civic technology and data literacy. The uniqueness of the venue and the quality of submissions have contributed to a fast growth of the conference, and a competitive acceptance rate around 20% for full-length research papers published in the proceedings by the Association for the Advancement of Artificial Intelligence (AAAI). We also discuss the novel and potential future research directions for the health fake news detection. We examine the demographics of users, the health top- ics discussed, if biases present in offline healthcare settings exist on this platform, and how empathy is expressed in inter- actions between users and physicians. The proposals will be selected considering the following criteria: Proposals of tutorials presented at past events are allowed, although novelty is a plus. In this work, we evaluate the added value of using Facebook data over satellite data for mapping socioeconomic development in two low and middle income countries -- the Philippines and India. By deploying our system, we produce and release WikiHist.html, English Wikipedia’s full revision history in HTML format. A recording of the panel will be made available for later viewing. In most research, collective attention on social media is measured via aggregate metrics, such as the number of posts that mention a given name. Third, our framework is robust in the face of data skewness, e.g., when some users or some stances have greater representation in the data. Today’s media universe encompasses traditional media, digital platforms, social media and myriad tools responsible for story creation and distribution. Explanation methods for neural networks reveal which input words have the strongest influence on our model's predictions. The award was established in 2021, at the 15th anniversary mark of the AAAI ICWSM conference. Papers accepted to this track will be presented as full-length presentations integrated with the conference, and they will be published as journal articles in the ICWSM proceedings. Aline Paes, Elton Hiroshi Matsushima Matsushima. How strong are the connections between individuals? The annotations have a very high inter-annotator agreement (0.79 to 0.93 k-alpha) due to well laid out annotator guidelines and data extraction procedure. We conduct extensive experiments on real-world datasets and demonstrate the proposed features can significantly outperform state-of-the-art fake news detection methods by at least 1.7% with an average F1>0.84. Proposals involving people of different backgrounds in the organizing committee and addressing topics at the intersection of different disciplines will have a higher chance of acceptance. An Experimental Study of Structural Diversity in Social Networks, Jessica Tsu-Yun Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel. Each recipient will be listed with a citation for their award on the ICWSM Adamic-Glance Distinguished Young Researcher Award web page. The current paper challenges this assumption by assessing members' feelings of affinity toward a large, di-verse sample of online groups. He recently testified before the U.S. House Committee on Financial Services about the impacts of automation and artificial intelligence on the financial services sector. About : Social Media are growing rapidly and play an increasingly important role in the development of Online Communities. Online communities about similar topics may maintain very different norms of interaction. ICWSM strongly encourages individuals from underrepresented groups in research (based on gender identity, race, ethnicity, geographical location, etc.) Papers accepted to this track will be full presentations, integrated with the conference, but will be published only as abstracts in the ICWSM conference proceedings. Grounding our observations in this framework, we test these hypotheses on 173 cities across the world. The response cell may explain why no changes were made, or may describe changes and direct the reviewer to a particular page, section, or figure, where the revised content appears. To the best of our knowledge, this work is the first quantitative study on the network characteristics and dynamics of emerging intimacy based social commerce platforms. However, collective attention is expressed not only in frequency, but also in content: linguistic features of the description of events and names reflect how writers expect their readers to perceive the information being discussed. Our framework has three major advantages over pre-existing methods, which are based on supervised or semi-supervised classification. Our dataset is made up of over 27.8K channels and 317M messages from 2.2M unique users. Thus, we conclude that in political subreddits, compatible newcomers are neither born nor made-- they make local adjustments on their own. Using thematic analysis, sixteen processes were identified which were associated with four broad stages: formation (selective connections, network homophily, shared interests, audience segmentation); propagation (circlejerking, upholding community standards, avoiding conflict, tailoring content); reaction (individual avoidance, collective reaction, mocking deviance, derogating outsiders); and perpetuation (modelling, prior feedback, echo chambers, gatekeeping). This option is for researchers in social science and sociophysics who wish to submit works without publication in the conference … For this purpose, we propose the use of data from location-based services. Characterizing User Content on a Multi-lingual Social Network, Pushkal Agarwal, Kiran Garimella, Sagar Joglekar, Nishanth Sastry, Gareth Tyson. We then compare our model to an array of shallow and deep-learning models using metrics designed especially to test for unintended model bias within these identity groups. Empirical Evaluation of Three Common Assumptions in Building Political Media Bias Datasets, Soumen Ganguly, Juhi Kulshrestha, Haewoon Kwak, Jisun An. Several interesting findings are discovered which are not easily identifiable from a shallow analysis. Workshops are an excellent forum for exploring emerging approaches and task areas, bridging gaps between the social sciences and computing, and elucidating results of exploratory research. Expertise networks in online communities: structure and algorithms. This paper presents in-depth measurements of the effects of Twitter data sampling across different timescales and different subjects (entities, networks, and cascades). To foster interaction and exchange of ideas, the workshops will be kept small, with up to 40 participants. Specifically, in an unsupervised setting, our distance measure achieves significantly better Adjusted Rand Index scores (up to 56x) and Silhouette coefficients (up to 21x) compared to existing approaches. ICWSM-2020 invites proposals for Workshops Day at the 14th International AAAI Conference on Web and Social Media (ICWSM). However, social media also enables the wide dissemination of fake news. A proposed regulation will contain several requests for feedback on specific topics, and the public can then submit comments in response. Finally, we show how to generate synthetic cascades that have similar macro-statistics to the real-world cascades for a dataset containing both the network and the cascades. Networks from similar schools have similar structures, with the public/private and graduation rate dimensions being the most distinguishable. Sep 15, 2020. We demonstrate our process through an example in the health domain, constructing two user models tracing cancer patient experience over time in an online health community. However, our results indicate it did reduce unwelcoming reactions towards newcomers in the short-term. Papers submitted to this track will be reviewed through the same reviewing mechanism as full papers. Do you want to learn more about what makes for a successful submission for the ICWSM journal? ICWSM and AAAI are pleased to announce the availability of a number of scholarships to help support attendance of underrepresented groups and regions at ICWSM-2021. Workshops are an excellent forum for exploring emerging approaches and task areas, bridging gaps between the social sciences and computing, and elucidating results of exploratory research. We show that confidence evaluations are subject to social influence: a low-confidence individual receives a confidence boost as a direct consequence of interacting with their teammate, and the extent of the boost depends more on the confidence, rather than on the competence, of the teammate. The predictors are evaluated against baselines that use only macroeconomic variables, and against models trained on search traffic data. Recently, messaging applications, such as WhatsApp, have been reportedly abused by misinformation campaigns, especially in Brazil and India. We’ve worked to limit the number of parallel sessions so that attendees have time to visit each paper. Our work bears methodological and design implications for online mental health platforms, and has the potential to guide suggestive interventions for peer supporters on these platforms. Given that there are thousands of news organizations, but each of us is exposed to only a few of them, we might be missing most of it. All submissions from that author will be disqualified from the current ICWSM conference; And authors will not be permitted to submit papers to the ICWSM conference in the following year. This paper presents MimicProp, a new graph-mode method that learns a lexicon-aligned word embedding. Submissions must adhere to the formatting and content guidelines above. ICWSM and AAAI are pleased to announce the availability of a small fund to help support student attendance at ICWSM-2021. However, the automated detection of troll accounts is an open challenge. In such contexts understanding and quantifying the similarity between opinions is key. Engagement, motivations, incentives, and gamification. We present an experimental assessment of the impact of feature attribution-style explanations on human performance in predicting the consensus toxicity of social media posts with advice from an error-prone machine learning model. It can, however, not look inside the households and pick up signals from individuals. Our findings suggest that the way and the extent in which people recommenders can produce disparate visibility on the two subgroups, might depend in large part on the level of homophily within the subgroups. In the event that applications exceed the number of available grant places, we will aim to have a reasonable balance between students who have an accepted technical paper and those who are actively participating in the conference in some way. This allows for a ranking of individual platforms based on the speed at which they pick up scientific information. Using deep learning techniques to automatically predict Republican or Democratic party affiliation solely from the Facebook photographs of the members of the 114th U.S. Congress, we demonstrate that predicted class probabilities from our model function as an accurate proxy of the political ideology of images along a left--right (liberal--conservative) dimension. Punyajoy Saha is a PhD scholar at the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur (India). The hacktivist group Anonymous is unusual in its public-facing nature. Our findings may help illuminate the role that colleges play in shaping social networks which partly persist throughout people's lives. However, existing models remain unfit for real-world applications, largely due to a shortage of publicly available training data and a lack of standard criteria for assigning ground truth labels. We combine anonymized and aggregated Facebook data with College Scorecard data, campus-level information provided by U.S. Department of Education, to produce a dataset covering the 2008-2015 entry year cohorts for 1,156 U.S. colleges and universities, spanning 7.4 million students. A one-page statement explaining why the nominee deserves the award in question, especially highlighting the novelty and strength of their contributions in the area of computational social science / social computing, and providing evidence of their academic and societal impact. Workshop participants will have the opportunity to meet and discuss issues with a selected focus -- providing an informal setting for active exchange among researchers and developers from a wide range of disciplines, including the social science and computer science. Characterizing variation in toxic language by social context, Bahar Radfar, Karthik Shivaram, Aron Culotta. On the Splitting Dynamics of Meetup Social Groups, Ayan Kumar Bhowmick, Soumajit Pramanik, Sayan Pathak, Bivas Mitra. To foster interaction and exchange of ideas, the workshops will be kept small, with up to 40 participants. Similarly, every person is described by a vector of interests defined over the same topic space. We present a highly effective unsupervised framework for detecting the stance of prolific Twitter users with respect to controversial topics. More information will be available on our website. This expansion in listeners' access to global content, however, has raised questions about streaming's impact on the import and export flows of music between countries and their preferences for local or global content. The two time slots are divided across the day to give as many people as possible a chance to interact, while also recognizing that a typical 12 hour day of conference activities is not feasible for most people. Understanding how political attention is divided and over what subjects is crucial for research on areas such as agenda setting, framing, and political rhetoric.
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