To date, there has been little empirical focus on how different online mediums affect the branding practices of retailers. In this working paper, I compare how specialty coffee retailers of different sizes use webpages and Twitter. I examine over 2800 unique images from 86 retailers using a quantitative content analysis that enumerates visual elements within pictures. I find that there are significant differences in the use of these two mediums in terms of retailer scale, and that based on their size, retailers display different types of images at much different proportions.
{"title":"Branding Practices in The New(Er) Media: A Comparison of Retailer Twitter and Web-Based Images","authors":"James Lannigan","doi":"10.1145/3097286.3097332","DOIUrl":"https://doi.org/10.1145/3097286.3097332","url":null,"abstract":"To date, there has been little empirical focus on how different online mediums affect the branding practices of retailers. In this working paper, I compare how specialty coffee retailers of different sizes use webpages and Twitter. I examine over 2800 unique images from 86 retailers using a quantitative content analysis that enumerates visual elements within pictures. I find that there are significant differences in the use of these two mediums in terms of retailer scale, and that based on their size, retailers display different types of images at much different proportions.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129825927","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}
R. Varanasi, Benjamin V. Hanrahan, Shahtab Wahid, John Millar Carroll
Financial analysts utilize information from heterogeneous sources (e.g. corporate filings, economic indicators, news, and tweets) to generate unique trade ideas through a sensemaking process. In this paper, we seek to understand the role of social media in this process. We conducted a semi-structured interview and identified essential benefits and barriers for the primary social media platform used by the analysts - Twitter. Analysts use Twitter as a query exploration tool, as a bellwether to understand sentiment, and to gauge knock-on effects. Drawing from our findings, we developed four scenarios to guide the design of TweetSight. Finally, we evaluated the design of TweetSight by walking analysts through the prototype. Analysts responded positively to anchoring contextual tweets in news articles to facilitate discovery and exploration of Twitter. Our findings and design implications can be applied more broadly to leverage social media for sensemaking, benefiting various business communities.
{"title":"TweetSight: Enhancing Financial Analysts' Social Media Use","authors":"R. Varanasi, Benjamin V. Hanrahan, Shahtab Wahid, John Millar Carroll","doi":"10.1145/3097286.3097308","DOIUrl":"https://doi.org/10.1145/3097286.3097308","url":null,"abstract":"Financial analysts utilize information from heterogeneous sources (e.g. corporate filings, economic indicators, news, and tweets) to generate unique trade ideas through a sensemaking process. In this paper, we seek to understand the role of social media in this process. We conducted a semi-structured interview and identified essential benefits and barriers for the primary social media platform used by the analysts - Twitter. Analysts use Twitter as a query exploration tool, as a bellwether to understand sentiment, and to gauge knock-on effects. Drawing from our findings, we developed four scenarios to guide the design of TweetSight. Finally, we evaluated the design of TweetSight by walking analysts through the prototype. Analysts responded positively to anchoring contextual tweets in news articles to facilitate discovery and exploration of Twitter. Our findings and design implications can be applied more broadly to leverage social media for sensemaking, benefiting various business communities.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115845179","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}
A qualitative survey analysis was conducted, assessing user interactions with the consent materials of a fictitious social networking service, NameDrop. Findings reveal that the quick-join clickwrap option, common to social networking services, hinders consent processes by making privacy and terms of service policies difficult to find, and by discouraging engagement with privacy and reputation protections by suggesting that consent materials are unimportant. Implications for the future of notice policy are discussed.
{"title":"Clickwrap Impact: Quick-Join Options and Ignoring Privacy and Terms of Service Policies of Social Networking Services","authors":"Jonathan A. Obar, Anne Oeldorf-Hirsch","doi":"10.1145/3097286.3097336","DOIUrl":"https://doi.org/10.1145/3097286.3097336","url":null,"abstract":"A qualitative survey analysis was conducted, assessing user interactions with the consent materials of a fictitious social networking service, NameDrop. Findings reveal that the quick-join clickwrap option, common to social networking services, hinders consent processes by making privacy and terms of service policies difficult to find, and by discouraging engagement with privacy and reputation protections by suggesting that consent materials are unimportant. Implications for the future of notice policy are discussed.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133958932","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}
On June 8th, 2015, Nobel laureate Sir Tim Hunt freely expressed his opinion on mixed-gender labs, while attending a President's lunch at the World Conference of Science Journalists: Let me tell you about my trouble with girls. Three things happen when they are in the lab: You fall in love with them, they fall in love with you, and when you criticize them they cry [69]. In the days following his statement, the hashtag #DistractinglySexy trended on Twitter. The purpose of this study was to investigate how Twitter users interpreted the Sir Tim Hunt speech, and how they represented their message through visual media on Twitter. The software program Hashtracking was used to gather 58,969 tweets that contained an image from the #DistractinglySexy hashtag. Content analysis was used to analyze the images collected, and a codebook was developed through an adaptation of the 'Draw-a-Scientist Test' (DAST), a test initially designed to reveal children's attitudes and beliefs about science through the use of stereotypical features. To enable human coding of such a large data set, a purposeful sample of 3,648 images was extracted for analysis. Intercoder reliability scores ranged from 0.84 to 1.0, all within the acceptable range, according to Cohen's Kappa. The results of this study indicated that users of the hashtag predominately portrayed themselves posed in personal protective equipment, in a laboratory setting. This study contributes to social media literature, by illustrating how this medium was used to create counter narratives that combat and highlight the challenges women in STEM face.
{"title":"#DistractinglySexy: How Social Media was used as a Counter Narrative on Gender in STEM","authors":"Emily J. Tetzlaff, E. Jago, Ann Pegoraro, T. Eger","doi":"10.1145/3097286.3097306","DOIUrl":"https://doi.org/10.1145/3097286.3097306","url":null,"abstract":"On June 8th, 2015, Nobel laureate Sir Tim Hunt freely expressed his opinion on mixed-gender labs, while attending a President's lunch at the World Conference of Science Journalists: Let me tell you about my trouble with girls. Three things happen when they are in the lab: You fall in love with them, they fall in love with you, and when you criticize them they cry [69]. In the days following his statement, the hashtag #DistractinglySexy trended on Twitter. The purpose of this study was to investigate how Twitter users interpreted the Sir Tim Hunt speech, and how they represented their message through visual media on Twitter. The software program Hashtracking was used to gather 58,969 tweets that contained an image from the #DistractinglySexy hashtag. Content analysis was used to analyze the images collected, and a codebook was developed through an adaptation of the 'Draw-a-Scientist Test' (DAST), a test initially designed to reveal children's attitudes and beliefs about science through the use of stereotypical features. To enable human coding of such a large data set, a purposeful sample of 3,648 images was extracted for analysis. Intercoder reliability scores ranged from 0.84 to 1.0, all within the acceptable range, according to Cohen's Kappa. The results of this study indicated that users of the hashtag predominately portrayed themselves posed in personal protective equipment, in a laboratory setting. This study contributes to social media literature, by illustrating how this medium was used to create counter narratives that combat and highlight the challenges women in STEM face.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134280174","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}
This paper seeks to address the tension between privacy and sharing culture. Despite many claims that privacy is dead, research suggests that there is a shift from privacy as an individualized right based around control to something more social, more embedded, more public and more networked. Drawing from seven media diaries, interviews with those diarists and a survey (N=270) of London, UK residents aged 18-36, we aim for a better picture of privacy and sharing culture as lived experiences. Based on this evidence, we identify a number of themes. First, privacy matters. Although respondents identify sharing as embedded and networked, their experiences and understanding of privacy remains more traditional. For most, privacy is an individualized right focused on control. In addition, we find several themes emerging from the data -- social privacy is more important than institutional privacy; younger respondents talk about "public friends" and "private sharing" to justify and explain their sharing practices; respondents also commonly talk about a 'persona' on social media profiles; and finally, respondents are increasingly depersonalizing what they share on social media. All of these themes point to ways that respondents exercise sharing strategies in part to protect their privacy, but also for managing the sharing expectations of their social media use and sharing culture more broadly.
{"title":"Public Friends and Private Sharing: Understanding Shifting Privacies in Sharing Culture","authors":"Z. Sujon, Lisette Johnston","doi":"10.1145/3097286.3097305","DOIUrl":"https://doi.org/10.1145/3097286.3097305","url":null,"abstract":"This paper seeks to address the tension between privacy and sharing culture. Despite many claims that privacy is dead, research suggests that there is a shift from privacy as an individualized right based around control to something more social, more embedded, more public and more networked. Drawing from seven media diaries, interviews with those diarists and a survey (N=270) of London, UK residents aged 18-36, we aim for a better picture of privacy and sharing culture as lived experiences. Based on this evidence, we identify a number of themes. First, privacy matters. Although respondents identify sharing as embedded and networked, their experiences and understanding of privacy remains more traditional. For most, privacy is an individualized right focused on control. In addition, we find several themes emerging from the data -- social privacy is more important than institutional privacy; younger respondents talk about \"public friends\" and \"private sharing\" to justify and explain their sharing practices; respondents also commonly talk about a 'persona' on social media profiles; and finally, respondents are increasingly depersonalizing what they share on social media. All of these themes point to ways that respondents exercise sharing strategies in part to protect their privacy, but also for managing the sharing expectations of their social media use and sharing culture more broadly.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134428522","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}
Masarah Paquet-Clouston, Olivier Bilodeau, D. Décary‐Hétu
The size of a social media account's audience -- in terms of followers or friends count -- is believed to be a good measure of its influence and popularity. To gain quick artificial popularity on online social networks (OSN), one can buy likes, follows and views, from social media fraud (SMF) services. SMF is the generation of likes, follows and views on OSN such as Facebook, Twitter, YouTube, and Instagram. Using a research method that combines computer sciences and social sciences, this paper provides a deeper understanding of the illicit market for SMF. It conducts a market price analysis for SMF, describes the operations of a supplier -- an Internet of things (IoT) botnet performing SMF -- and provides a profile of the potential customers of such fraud. The paper explains how an IoT botnet conducts social network manipulation and illustrates that the fraud is driven by OSN users, mainly entertainers, small online shops and private users. It also illustrates that OSN strategy to suspend fake accounts only cleans the networks a posteriori of the fraud and does not deter the crime -- the botnet -- or the fraud -- SMF -- from happening. Several solutions to deter the fraud are provided.
{"title":"Can We Trust Social Media Data? Social Network Manipulation by an IoT Botnet","authors":"Masarah Paquet-Clouston, Olivier Bilodeau, D. Décary‐Hétu","doi":"10.1145/3097286.3097301","DOIUrl":"https://doi.org/10.1145/3097286.3097301","url":null,"abstract":"The size of a social media account's audience -- in terms of followers or friends count -- is believed to be a good measure of its influence and popularity. To gain quick artificial popularity on online social networks (OSN), one can buy likes, follows and views, from social media fraud (SMF) services. SMF is the generation of likes, follows and views on OSN such as Facebook, Twitter, YouTube, and Instagram. Using a research method that combines computer sciences and social sciences, this paper provides a deeper understanding of the illicit market for SMF. It conducts a market price analysis for SMF, describes the operations of a supplier -- an Internet of things (IoT) botnet performing SMF -- and provides a profile of the potential customers of such fraud. The paper explains how an IoT botnet conducts social network manipulation and illustrates that the fraud is driven by OSN users, mainly entertainers, small online shops and private users. It also illustrates that OSN strategy to suspend fake accounts only cleans the networks a posteriori of the fraud and does not deter the crime -- the botnet -- or the fraud -- SMF -- from happening. Several solutions to deter the fraud are provided.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122554944","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}
Social media have enabled a revolution in user-generated content. They allow users to connect, build community, produce and share content, and publish opinions. To better understand online users' attitudes and opinions, we use stance classification. Stance classification is a relatively new and challenging approach to deepen opinion mining by classifying a user's stance in a debate. Our stance classification use case is tweets that were related to the spring 2016 debate over the FBI's request that Apple decrypt a user's iPhone. In this "encryption debate," public opinion was polarized between advocates for individual privacy and advocates for national security. We propose a machine learning approach to classify stance in the debate, and a topic classification that uses lexical, syntactic, Twitter-specific, and argumentative features as a predictor for classifications. Models trained on these feature sets showed significant increases in accuracy relative to the unigram baseline.
{"title":"Stance Classification of Twitter Debates: The Encryption Debate as A Use Case","authors":"Aseel Addawood, Jodi Schneider, Masooda N. Bashir","doi":"10.1145/3097286.3097288","DOIUrl":"https://doi.org/10.1145/3097286.3097288","url":null,"abstract":"Social media have enabled a revolution in user-generated content. They allow users to connect, build community, produce and share content, and publish opinions. To better understand online users' attitudes and opinions, we use stance classification. Stance classification is a relatively new and challenging approach to deepen opinion mining by classifying a user's stance in a debate. Our stance classification use case is tweets that were related to the spring 2016 debate over the FBI's request that Apple decrypt a user's iPhone. In this \"encryption debate,\" public opinion was polarized between advocates for individual privacy and advocates for national security. We propose a machine learning approach to classify stance in the debate, and a topic classification that uses lexical, syntactic, Twitter-specific, and argumentative features as a predictor for classifications. Models trained on these feature sets showed significant increases in accuracy relative to the unigram baseline.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125013754","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}
'Digital labour' has become an umbrella term for the stream of research dealing with web users' participation in digital culture. It critically frames social media participation within a wider political economy of the Internet where it is captured and translated into exchange value for platform providers and powerful organizations. Though it adds a much-needed critical perspective to the discussion on this phenomenon, digital labour theory does not provide sufficient methodological guidelines for social research. This remark applies especially to the problem of including a "micro-perspective" in theory-development, that is, social actors' experiences and perceptions. After performing the pilot literature study, we found that this challenge is recognized by most scholars conducting empirical research referring to digital labour, however, there is little consent of how it could be solved. We argue that this problem may be reframed as an intra-disciplinary "paradigm clash" -- the incommensurability of the critical and the interpretive tradition in social science. We collect preliminary insights from research papers and call for conceptualizations that will inform empirical researchers of how to involve a micro-perspective while building the digital labour theory.
{"title":"'Paradigm Clash' in the Digital Labor Literature: Reconciling Critical Theory and Interpretive Approach in Empirical Research","authors":"O. Rodak, Karolina Mikołajewska-Zając","doi":"10.1145/3097286.3097341","DOIUrl":"https://doi.org/10.1145/3097286.3097341","url":null,"abstract":"'Digital labour' has become an umbrella term for the stream of research dealing with web users' participation in digital culture. It critically frames social media participation within a wider political economy of the Internet where it is captured and translated into exchange value for platform providers and powerful organizations. Though it adds a much-needed critical perspective to the discussion on this phenomenon, digital labour theory does not provide sufficient methodological guidelines for social research. This remark applies especially to the problem of including a \"micro-perspective\" in theory-development, that is, social actors' experiences and perceptions. After performing the pilot literature study, we found that this challenge is recognized by most scholars conducting empirical research referring to digital labour, however, there is little consent of how it could be solved. We argue that this problem may be reframed as an intra-disciplinary \"paradigm clash\" -- the incommensurability of the critical and the interpretive tradition in social science. We collect preliminary insights from research papers and call for conceptualizations that will inform empirical researchers of how to involve a micro-perspective while building the digital labour theory.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124402197","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}
Elliot T. Panek, Connor Hollenbach, Jinjie Yang, Tyler Rhodes
The online communities of Reddit provide an ideal testing ground for determining the ways in which growth affect communities. By analyzing comments made on Reddit between 2008 and 2016, we demonstrate that Reddit consists of multiple communities growing at different rates. In several cases, community size is associated with greater inequality of participation in discourse, supporting the notion that members of online communities become less interactive and more passive as communities grow. However, one community, r/TwoXChromosomes, exhibits increasing equality of participation in discourse as it grows.
{"title":"Growth and Inequality of Participation in Online Communities: A Longitudinal Analysis","authors":"Elliot T. Panek, Connor Hollenbach, Jinjie Yang, Tyler Rhodes","doi":"10.1145/3097286.3097337","DOIUrl":"https://doi.org/10.1145/3097286.3097337","url":null,"abstract":"The online communities of Reddit provide an ideal testing ground for determining the ways in which growth affect communities. By analyzing comments made on Reddit between 2008 and 2016, we demonstrate that Reddit consists of multiple communities growing at different rates. In several cases, community size is associated with greater inequality of participation in discourse, supporting the notion that members of online communities become less interactive and more passive as communities grow. However, one community, r/TwoXChromosomes, exhibits increasing equality of participation in discourse as it grows.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127899826","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}
Jessica Vitak, P. Wisniewski, Zahra Ashktorab, Karla A. Badillo-Urquiola
As social media becomes more deeply embedded into our daily lives, researchers are examining how previously private disclosures and interactions are manifesting in semi-public spaces. This study evaluates how sites like Facebook may help users grieve following the loss of a family pet. Through an empirical study of Facebook users, we evaluate survey responses (N=396) and users' actual Facebook posts related to pet loss (N=190) to better understand how individuals use (or do not use) social media as part of the grieving process. We find that users weigh several benefits and drawbacks before making these sensitive disclosures on Facebook, including whether they think posting will mitigate or perpetuate their emotional pain, the privacy of the experience vs. the public nature of sharing, and whether their disclosures will be met with support or dismissal (i.e., disenfranchised grief). We conclude by discussing implications for theory around grief and social support, as well as the design of social media interfaces that support grieving processes for the loss of a loved one.
{"title":"Benefits and Drawbacks of Using Social Media to Grieve Following the Loss of Pet","authors":"Jessica Vitak, P. Wisniewski, Zahra Ashktorab, Karla A. Badillo-Urquiola","doi":"10.1145/3097286.3097309","DOIUrl":"https://doi.org/10.1145/3097286.3097309","url":null,"abstract":"As social media becomes more deeply embedded into our daily lives, researchers are examining how previously private disclosures and interactions are manifesting in semi-public spaces. This study evaluates how sites like Facebook may help users grieve following the loss of a family pet. Through an empirical study of Facebook users, we evaluate survey responses (N=396) and users' actual Facebook posts related to pet loss (N=190) to better understand how individuals use (or do not use) social media as part of the grieving process. We find that users weigh several benefits and drawbacks before making these sensitive disclosures on Facebook, including whether they think posting will mitigate or perpetuate their emotional pain, the privacy of the experience vs. the public nature of sharing, and whether their disclosures will be met with support or dismissal (i.e., disenfranchised grief). We conclude by discussing implications for theory around grief and social support, as well as the design of social media interfaces that support grieving processes for the loss of a loved one.","PeriodicalId":130378,"journal":{"name":"Proceedings of the 8th International Conference on Social Media & Society","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127921952","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}
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