International Conference on Web and Social Media最新文献_第9页

Closing Pandora's Box on Naver: Toward Ending Cyber Harassment 关闭Naver的潘多拉魔盒:迈向结束网络骚扰

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19307

N. Kang, Tina Kuo, Jens Grossklags

引用次数: 4

#Emoji: A Study on the Association between Emojis and Hashtags on Twitter #Emoji:推特上表情符号和标签之间关系的研究

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19367

Yuhang Zhou, W. Ai

引用次数: 1

Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? 阳光和微笑:天气如何影响社交媒体上的情绪?

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19301

Julie Jiang, Nils Murrugara-Llerena, M. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri

{"title":"Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media?","authors":"Julie Jiang, Nils Murrugara-Llerena, M. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri","doi":"10.1609/icwsm.v16i1.19301","DOIUrl":"https://doi.org/10.1609/icwsm.v16i1.19301","url":null,"abstract":"The environment we are in can affect our mood and behavior. One environmental factor is weather, which is linked to sentiment as expressed on social media. However, less is known about how integrating changes in weather, along with time and location contextual cues, can improve sentiment detection and understanding. In this paper, we explore the effects of three contextual features--weather, location, and time--on expressed sentiment in social media. Leveraging a large Snapchat dataset, we provide extensive experimental evidence that including contextual features in addition to textual features significantly improves textual sentiment detection performance by 3% over transformer-based language models. Our results also generalize cross-domain to Twitter. Ablation studies indicate the relative importance of weather compared to location and time. We also conduct correlation analyses on 8 million Snapchat posts to highlight the link between past weather and current sentiment, showing that weather has a lasting impact on mood. Users generally exhibit more positive sentiment in better weather conditions as well as in improved weather conditions. Additionally, we show that temperature's link with mood holds after controlling for time or population density, but there exist geographical differences in how temperature affects mood. Our work demonstrates the effectiveness of including external contexts in linguistic tasks and carries design implications for researchers and designers of social media.","PeriodicalId":175641,"journal":{"name":"International Conference on Web and Social Media","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134035502","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: 2

"Rough Day ... Need a Hug": Learning Challenges and Experiences of the Alzheimer's Disease and Related Dementia Caregivers on Reddit “倒霉的一天……需要一个拥抱”:学习阿尔茨海默病和相关痴呆症护理人员的挑战和经验

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19328

Congning Ni, B. Malin, Lijun Song, A. Jefferson, P. Commiskey, Zhijun Yin

{"title":"\"Rough Day ... Need a Hug\": Learning Challenges and Experiences of the Alzheimer's Disease and Related Dementia Caregivers on Reddit","authors":"Congning Ni, B. Malin, Lijun Song, A. Jefferson, P. Commiskey, Zhijun Yin","doi":"10.1609/icwsm.v16i1.19328","DOIUrl":"https://doi.org/10.1609/icwsm.v16i1.19328","url":null,"abstract":"Alzheimer’s disease and related dementia (ADRD) is a collection of disorders involving mental deterioration, which is often quite distressing for the individuals and those caring for them. Online social media platforms have become popular environments for people to share their ADRD caring challenges and experiences. Despite encouraging findings in the literature regarding online support for ADRD caregivers, studies to date have focused only on a single online community about ADRD, which leads to an incomplete picture of the needs of ADRD caregivers. Additionally, the large volume of data from online communities makes it challenging for both researchers and caregivers to efficiently discover discussions about ADRD care. In this paper, we focus on Reddit, an online rating and discussion platform that consists of many communities, or subreddits, and aim to analyze the topic difference regarding ADRD care between ADRD and non-ADRD subreddits. To do so, we first develop a two-stage classification framework to extract posts about ADRD care from the entire Reddit. Then, we apply structured topic modeling to investigate what has been discussed on ADRD care and how such discussions are prevalent in different types of subreddits. Our results show that non-ADRD subreddits contribute 68.5% of submissions of ADRD care, more than twice as many as ADRD subreddits. Moreover, non-ADRD subreddits are more likely to disclose legal and financial issues, negative relationships and mental health, while ADRD subreddits are more likely to talk about memory loss, sleeping and diet issues, the disease and clinical visits. Our findings suggest that research in this area should look into discussions beyond ADRD communities to gain a comprehensive understanding of ADRD caring experiences and challenges.","PeriodicalId":175641,"journal":{"name":"International Conference on Web and Social Media","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126419620","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: 4

Measuring Media Bias via Masked Language Modeling 通过掩蔽语言建模测量媒体偏见

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19396

Xiaobo Guo, Weicheng Ma, Soroush Vosoughi

引用次数: 6

Network Analysis of the Information Consumption-Production Dichotomy in Mastodon User Behaviors 乳齿象用户行为中信息消费-生产二分法的网络分析

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19391

Lucio La Cava, S. Greco, Andrea Tagarelli

引用次数: 9

If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation 如果你有可靠的消息来源，说点什么:纠正评论对COVID-19错误信息的影响

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19344

Haeseung Seo, Aiping Xiong, Sian Lee, Dongwon Lee

{"title":"If You Have a Reliable Source, Say Something: Effects of Correction Comments on COVID-19 Misinformation","authors":"Haeseung Seo, Aiping Xiong, Sian Lee, Dongwon Lee","doi":"10.1609/icwsm.v16i1.19344","DOIUrl":"https://doi.org/10.1609/icwsm.v16i1.19344","url":null,"abstract":"In the post-truth era, particularly during the COVID-19 pandemic, an effective correction on misinformation is necessary to promote personal and public health. To better understand the effect of “correcting” misinformation, therefore, we investigated correction from different users on social media (e.g., individual users, fact-checking websites, and health organizations) and the frequency of correction (e.g., once vs. twice) in three online experiments. In each experiment, we evaluated participants’ perceived accuracy and willingness to share in terms of real and fake news of COVID-19, respectively. Across all experiments, a single correction from the health organizations effectively reduced participants’ perceived accuracy rating on the COVID-19 fake news. Experiments 2 and 3 revealed the effects of a single correction from individual users and fact-checking websites. Moreover, results of post-session questionnaires indicated that participants counted on the reliability of the sources in the correction. We did not obtain the consistent effects of frequent correction but verified the vulnerability of participants with high health anxiety to the COVID-19 fake news across all experiments. Overall, our study highlights the effects of user-initiated correction regardless of whether the user is an individual or an organization, as long as the correction contains a reliable source.","PeriodicalId":175641,"journal":{"name":"International Conference on Web and Social Media","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130366116","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

Supporting Online Toxicity Detection with Knowledge Graphs 支持在线毒性检测与知识图谱

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19398

P. Lobo, E. Daga, Harith Alani

引用次数: 1

A Tale of Two Subreddits: Measuring the Impacts of Quarantines on Political Engagement on Reddit 两个子Reddit的故事:衡量隔离对Reddit政治参与的影响

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19347

Qinlan Shen, C. Rosé

引用次数: 6

Quantifying the Creator Economy: A Large-Scale Analysis of Patreon 量化创造者经济:对Patreon的大规模分析

International Conference on Web and Social Media Pub Date : 2022-05-31 DOI: 10.1609/icwsm.v16i1.19338

Lana El Sanyoura, Ashton Anderson

{"title":"Quantifying the Creator Economy: A Large-Scale Analysis of Patreon","authors":"Lana El Sanyoura, Ashton Anderson","doi":"10.1609/icwsm.v16i1.19338","DOIUrl":"https://doi.org/10.1609/icwsm.v16i1.19338","url":null,"abstract":"In recent years, the “creator economy” has emerged as a disruptive force in creative industries. Independent creators can now reach large and diverse audiences through online platforms, and membership platforms have emerged to connect these creators with fans who are willing to financially support them. However, the structure and dynamics of how membership platforms function on a large scale remain poorly understood. In this work, we develop an analysis framework for the study of membership platforms and apply it to the complete set of Patreon pledges exceeding $2 billion since its inception in 2013 until the end of 2020. We analyze Patreon activity through three perspectives: patrons (demand), creators (supply), and the platform as a whole. We find several important phenomena that help explain how membership platforms operate. Patrons who pledge to a narrow set of creators are more loyal, but churn off the platform more often. High-earning creators attract large audiences, but these audiences are less likely to pledge to other creators. Over its history, Patreon diversified into many topics and launched higher-earning creators over time. Our analysis framework and results shed light on the functioning of membership platforms and have implications for the creator economy.","PeriodicalId":175641,"journal":{"name":"International Conference on Web and Social Media","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123073397","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: 4