HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media最新文献

HT '22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, Spain, 28 June 2022- 1 July 2022 ht22:第33届ACM超文本和社交媒体会议，西班牙巴塞罗那，2022年6月28日至2022年7月1日

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2022-01-01 DOI: 10.1145/3511095

引用次数: 0

HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021 - 2 September 2021 ht21:第32届ACM超文本和社交媒体会议，虚拟事件，爱尔兰，2021年8月30日至2021年9月2日

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2021-01-01 DOI: 10.1145/3465336

引用次数: 0

HT '20: 31st ACM Conference on Hypertext and Social Media, Virtual Event, USA, July 13-15, 2020 ht20:第31届美国计算机学会超文本与社交媒体会议，虚拟事件，美国，2020年7月13-15日

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2020-01-01 DOI: 10.1145/3372923

引用次数: 0

Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides. 发现名人自杀后社交媒体上自杀内容的变化。

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2015-09-01 DOI: 10.1145/2700171.2791026

Mrinal Kumar, Mark Dredze, Glen Coppersmith, Munmun De Choudhury

{"title":"Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides.","authors":"Mrinal Kumar, Mark Dredze, Glen Coppersmith, Munmun De Choudhury","doi":"10.1145/2700171.2791026","DOIUrl":"https://doi.org/10.1145/2700171.2791026","url":null,"abstract":"<p><p>The Werther effect describes the increased rate of completed or attempted suicides following the depiction of an individual's suicide in the media, typically a celebrity. We present findings on the prevalence of this effect in an online platform: r/SuicideWatch on Reddit. We examine both the posting activity and post content after the death of ten high-profile suicides. Posting activity increases following reports of celebrity suicides, and post content exhibits considerable changes that indicate increased suicidal ideation. Specifically, we observe that post-celebrity suicide content is more likely to be inward focused, manifest decreased social concerns, and laden with greater anxiety, anger, and negative emotion. Topic model analysis further reveals content in this period to switch to a more derogatory tone that bears evidence of self-harm and suicidal tendencies. We discuss the implications of our findings in enabling better community support to psychologically vulnerable populations, and the potential of building suicide prevention interventions following high-profile suicides.</p>","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"2015 ","pages":"85-94"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2700171.2791026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35175985","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}

引用次数: 136

Revisiting reverts: accurate revert detection in wikipedia 重访还原:准确的还原检测在维基百科

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2012-06-25 DOI: 10.1145/2309996.2310000

Fabian Flöck, Denny Vrandečić, E. Simperl

{"title":"Revisiting reverts: accurate revert detection in wikipedia","authors":"Fabian Flöck, Denny Vrandečić, E. Simperl","doi":"10.1145/2309996.2310000","DOIUrl":"https://doi.org/10.1145/2309996.2310000","url":null,"abstract":"Wikipedia is commonly used as a proving ground for research in collaborative systems. This is likely due to its popularity and scale, but also to the fact that large amounts of data about its formation and evolution are freely available to inform and validate theories and models of online collaboration. As part of the development of such approaches, revert detection is often performed as an important pre-processing step in tasks as diverse as the extraction of implicit networks of editors, the analysis of edit or editor features and the removal of noise when analyzing the emergence of the content of an article. The current state of the art in revert detection is based on a rather naive approach, which identifies revision duplicates based on MD5 hash values. This is an efficient, but not very precise technique that forms the basis for the majority of research based on revert relations in Wikipedia. In this paper we prove that this method has a number of important drawbacks - it only detects a limited number of reverts, while simultaneously misclassifying too many edits as reverts, and not distinguishing between complete and partial reverts. This is very likely to hamper the accurate interpretation of the findings of revert-related research. We introduce an improved algorithm for the detection of reverts based on word tokens added or deleted to adresses these drawbacks. We report on the results of a user study and other tests demonstrating the considerable gains in accuracy and coverage by our method, and argue for a positive trade-off, in certain research scenarios, between these improvements and our algorithm's increased runtime.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"45 1","pages":"3-12"},"PeriodicalIF":0.0,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78716436","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: 12

Understanding factors that affect response rates in twitter 了解影响twitter回复率的因素

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2012-06-25 DOI: 10.1145/2309996.2310017

Giovanni V. Comarela, M. Crovella, Virgílio A. F. Almeida, Fabrício Benevenuto

{"title":"Understanding factors that affect response rates in twitter","authors":"Giovanni V. Comarela, M. Crovella, Virgílio A. F. Almeida, Fabrício Benevenuto","doi":"10.1145/2309996.2310017","DOIUrl":"https://doi.org/10.1145/2309996.2310017","url":null,"abstract":"In information networks where users send messages to one another, the issue of information overload naturally arises: which are the most important messages? In this paper we study the problem of understanding the importance of messages in Twitter. We approach this problem in two stages. First, we perform an extensive characterization of a very large Twitter dataset which includes all users, social relations, and messages posted from the beginning of the service up to August 2009. We show evidence that information overload is present: users sometimes have to search through hundreds of messages to find those that are interesting to reply or retweet. We then identify factors that influence user response or retweet probability: previous responses to the same tweeter, the tweeter's sending rate, the age and some basic text elements of the tweet. In our second stage, we show that some of these factors can be used to improve the presentation order of tweets to the user. First, by inspecting user activity over time, we construct a simple on-off model of user behavior that allows us to infer when a user is actively using Twitter. Then, we explore two methods from machine learning for ranking tweets: a Naive Bayes predictor and a Support Vector Machine classifier. We show that it is possible to reorder tweets to increase the fraction of replied or retweeted messages appearing in the first p positions of the list by as much as 50-60%.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"4 1","pages":"123-132"},"PeriodicalIF":0.0,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73310703","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: 72

An evaluation of tailored web materials for public administration 为公共行政量身定制的网络材料的评价

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2012-06-25 DOI: 10.1145/2309996.2310040

N. Colineau, Cécile Paris, Keith Vander Linden

引用次数: 4

Finding and exploring memes in social media 在社交媒体中寻找和探索模因

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2012-06-25 DOI: 10.1145/2309996.2310044

Hohyon Ryu, Matthew Lease, N. Woodward

{"title":"Finding and exploring memes in social media","authors":"Hohyon Ryu, Matthew Lease, N. Woodward","doi":"10.1145/2309996.2310044","DOIUrl":"https://doi.org/10.1145/2309996.2310044","url":null,"abstract":"Online critical literacy challenges readers to recognize and question how online textual information has been shaped by its greater context. While comparing information from multiple sources provides a foundation for such awareness, keeping pace with everything being written is a daunting proposition, especially for the casual reader. We propose a new form of technological assistance for critical literacy which automatically discovers and displays underlying memes: ideas represented by similar phrases which occur across diýerent information sources. By surfacing these memes to users, we create a rich hypertext representation in which underlying memes can be explored in context. Given the vast scale of social media, we describe a highly-scalable system architecture designed for MapReduce distributed computing. To validate our approach, we report on use of our system to discover and browse memes in a 1.5 TB collection of crawled social media. Our primary contributions include: 1) a novel technological approach and hypertext browsing design for supporting critical literacy; and 2) a highly-scalable system architecture for meme discovery, providing a solid foundation for further system extensions and refinements.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"14 1","pages":"295-304"},"PeriodicalIF":0.0,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87475880","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: 13

Moving beyond SameAs with PLATO: partonomy detection for linked data 使用PLATO超越SameAs:关联数据的部分分类检测

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2012-06-25 DOI: 10.1145/2309996.2310004

Prateek Jain, P. Hitzler, Kunal Verma, P. Yeh, A. Sheth

{"title":"Moving beyond SameAs with PLATO: partonomy detection for linked data","authors":"Prateek Jain, P. Hitzler, Kunal Verma, P. Yeh, A. Sheth","doi":"10.1145/2309996.2310004","DOIUrl":"https://doi.org/10.1145/2309996.2310004","url":null,"abstract":"The Linked Open Data (LOD) Cloud has gained significant traction over the past few years. With over 275 interlinked datasets across diverse domains such as life science, geography, politics, and more, the LOD Cloud has the potential to support a variety of applications ranging from open domain question answering to drug discovery.\u0000 Despite its significant size (approx. 30 billion triples), the data is relatively sparely interlinked (approx. 400 million links). A semantically richer LOD Cloud is needed to fully realize its potential. Data in the LOD Cloud are currently interlinked mainly via the owl:sameAs property, which is inadequate for many applications. Additional properties capturing relations based on causality or partonomy are needed to enable the answering of complex questions and to support applications.\u0000 In this paper, we present a solution to enrich the LOD Cloud by automatically detecting partonomic relationships, which are well-established, fundamental properties grounded in linguistics and philosophy. We empirically evaluate our solution across several domains, and show that our approach performs well on detecting partonomic properties between LOD Cloud data.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"12 1","pages":"33-42"},"PeriodicalIF":0.0,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82662764","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: 24

Early detection of buzzwords based on large-scale time-series analysis of blog entries 基于大规模博客时间序列分析的热词早期检测

HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media Pub Date : 2012-06-25 DOI: 10.1145/2309996.2310042

Shinsuke Nakajima, Jianwei Zhang, Y. Inagaki, Reyn Y. Nakamoto

{"title":"Early detection of buzzwords based on large-scale time-series analysis of blog entries","authors":"Shinsuke Nakajima, Jianwei Zhang, Y. Inagaki, Reyn Y. Nakamoto","doi":"10.1145/2309996.2310042","DOIUrl":"https://doi.org/10.1145/2309996.2310042","url":null,"abstract":"In this paper, we discuss a method for early detection of \"gradual buzzwords\" by analyzing time-series data of blog entries. We observe the process in which certain topics grow to become major buzzwords and determine the key indicators that are necessary for their early detection. From the analysis results based on 81,922,977 blog entries from 3,776,154 blog websites posted in the past two years, we find that as topics grow to become major buzzwords, the percentages of blog entries from the blogger communities closely related to the target buzzword decrease gradually, and the percentages of blog entries from the weakly related blogger communities increase gradually. We then describe a method for early detection of these buzzwords, which is dependent on identifying the blogger communities which are closely related to these buzzwords. Moreover, we verify the effectiveness of the proposed method through experimentation that compares the rankings of several buzzword candidates with a real-life idol group popularity competition.","PeriodicalId":91270,"journal":{"name":"HT ... : the proceedings of the ... ACM Conference on Hypertext and Social Media. ACM Conference on Hypertext and Social Media","volume":"77 1","pages":"275-284"},"PeriodicalIF":0.0,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83503812","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: 12