Communication & Computational Methods eJournal最新文献

Communication & Computational Methods eJournal Pub Date : 2021-07-14 DOI: 10.2139/ssrn.3800399

B. Campbell, Michael S. Drake, Jacob R. Thornock, Brady J. Twedt

{"title":"Earnings Virality","authors":"B. Campbell, Michael S. Drake, Jacob R. Thornock, Brady J. Twedt","doi":"10.2139/ssrn.3800399","DOIUrl":"https://doi.org/10.2139/ssrn.3800399","url":null,"abstract":"We examine the determinants and market implications associated with earnings announcements going viral on social media, a phenomenon we label “earnings virality.” Using a comprehensive panel of historical Twitter data, we find that the typical earnings announcement receives relatively little social media coverage, but a subset go viral on social media, reaching the feeds of millions of people very quickly. Viral earnings announcements are generally associated with Twitter content that is more extreme, more emotive, and less substantive. At the firm level, earnings virality is positively associated with revenue surprises, investor recognition, and retail investor ownership. We also find that it is positively associated with investor activity including trading volume, price volatility, retail investor trading volume, and retail stock holdings, but is negatively associated with professional investor activity. Finally, our findings suggest that earnings virality is detrimental to price efficiency, as it coincides with lower market liquidity and slower price formation. These detrimental effects are stronger when the average content of social media chatter is more emotional and less substantive. Overall, our evidence suggests that user-driven dissemination through social media platforms, when amplified and taken to extreme levels, can be harmful to earnings price efficiency.","PeriodicalId":301794,"journal":{"name":"Communication & Computational Methods eJournal","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114617949","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: 10

Competition Law Enforcement and Regulation for Digital Platforms and Ecosystems: Understanding the Issues, Facing the Challenges and Moving Forward 数字平台和生态系统的竞争执法和监管:理解问题，面对挑战，向前迈进

Communication & Computational Methods eJournal Pub Date : 2021-06-01 DOI: 10.2139/ssrn.3857507

F. Jenny

{"title":"Competition Law Enforcement and Regulation for Digital Platforms and Ecosystems: Understanding the Issues, Facing the Challenges and Moving Forward","authors":"F. Jenny","doi":"10.2139/ssrn.3857507","DOIUrl":"https://doi.org/10.2139/ssrn.3857507","url":null,"abstract":"Competition authorities are under severe political pressure to intervene quickly against the digital behemoth for a variety of reasons. Various expert reports have suggested that traditional antitrust or competition law enforcement and merger control are inadequate or insufficient to deal with competition issues in the digital sector. This paper explores the competition issues raised by digital platforms and ecosystems, the extent to which these issues can be dealt with by competition law and whether regulation could be a complement or a substitute to competition law enforcement. The paper is divided into three sections. In the first section we look at the economics of digital platforms and ecosystems and their business models. In the second part, we analyze the main challenges faced by competition authorities when they apply their traditional analytical tools to antitrust or merger control cases in the digital sector. The third part compares the EU Digital Market Act proposal to regulate Gatekeeper platforms and the UK proposal to establish an enforceable code of conduct to govern the behaviour of platforms funded by digital advertising that are designated as having strategic market status (SMS). We conclude with a research agenda to help competition authorities avoid the risks of inadvertently giving in to the political pressure of economic populism or ideology or issuing misguided decisions which may be ineffective or, even worse, restrict competition or innovation in the digital sector.","PeriodicalId":301794,"journal":{"name":"Communication & Computational Methods eJournal","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115404209","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

Financial Inscriptions and Social Accountability Processes 金融铭文和社会责任过程

Communication & Computational Methods eJournal Pub Date : 2020-09-18 DOI: 10.2139/ssrn.3695154

Gregory D. Saxton, D. Neu

{"title":"Financial Inscriptions and Social Accountability Processes","authors":"Gregory D. Saxton, D. Neu","doi":"10.2139/ssrn.3695154","DOIUrl":"https://doi.org/10.2139/ssrn.3695154","url":null,"abstract":"Social media is changing the practice of social accountability. The release of the Panama Papers on April 3, 2016 by the International Consortium of Investigative Journalists (ICIJ) unleashed a tsunami of over 5 million tweets decrying corrupt politicians and tax-avoiding business elites, calling for policy change from governments, and demanding accountability from corporate and private tax avoiders. The current study uses 297,000+ original English-language geo-codable tweets with the hashtags #PanamaGate, #PanamaPapers, or #PanamaLeaks to consider how financial inscriptions participated in the subsequent Twitter conversation. We specifically examine four aspects of the Twitter- based social accountability process that get at, respectively, the public’s message-based reactions to the Panama Papers, the nature of the emergent social accountability interest network, the participation of financial inscriptions in network interest definition activities, and the “reactivation” of network members by the subsequent release of the Paradise Papers in late 2017. The results illustrate that financial inscriptions, as well as value-based inscriptions, participated in the emergence and coalescing of a social accountability interest network. Furthermore, both active and latent network participants were subsequently reactivated by the release of the Paradise Papers a year and a half later.","PeriodicalId":301794,"journal":{"name":"Communication & Computational Methods eJournal","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133118501","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: 0

More than a Feeling: Benchmarks for Sentiment Analysis Accuracy 不仅仅是一种感觉:情绪分析准确性的基准

Communication & Computational Methods eJournal Pub Date : 2020-07-31 DOI: 10.2139/ssrn.3489963

Mark Heitmann, Christian Siebert, Jochen Hartmann, Christina Schamp

{"title":"More than a Feeling: Benchmarks for Sentiment Analysis Accuracy","authors":"Mark Heitmann, Christian Siebert, Jochen Hartmann, Christina Schamp","doi":"10.2139/ssrn.3489963","DOIUrl":"https://doi.org/10.2139/ssrn.3489963","url":null,"abstract":"The written word is the oldest and most common type of data. Today, mass literacy and cheap technology allow for greater word output per capita than ever before in human history. To keep pace, companies and scholars increasingly depend on automated analyses — not only of what people say (content) but also how they feel (sentiment). This makes it pertinent to understand the accuracy of these automated analyses. While information systems research has produced remarkable leaps of progress, the emphasis has been on innovation rather than evaluation. From an applied perspective, it is not clear whether leaderboard results for selected problems generalize across data sets and domains. In this article, we focus on sentiment analysis methods and assess performance across applications by combining a meta-analysis of 216 comparative computer science publications on 271 unique data sets with experimental evaluations of novel language models. To the best of our knowledge, this constitutes the most comprehensive assessment of sentiment analysis accuracy to date. We find that method choice explains only 10% of the variance in accuracy. Controlling for contextual factors such as data set and paper characteristics increases explanatory power to over 75%, suggesting differences across research problems matter. We find that accuracy of sentiment analysis can indeed approach 95% but can also fall below 50%. This shows that more nuanced benchmarks, rather than best attainable values for selected use cases, are more meaningful for an applied audience. We compute benchmark values that take both methodological choices and application context into account.","PeriodicalId":301794,"journal":{"name":"Communication & Computational Methods eJournal","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129410707","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: 29

Echo Chambers 回音室

Communication & Computational Methods eJournal Pub Date : 2020-06-18 DOI: 10.2139/ssrn.3603107

J. Cookson, Joseph Engelberg, William Mullins

引用次数: 73

Collective Intelligence Platforms – Does Communication Improve Performance Under Uncertainty? 集体智慧平台——在不确定性下，沟通能提高绩效吗?

Communication & Computational Methods eJournal Pub Date : 2020-06-10 DOI: 10.2139/ssrn.3623976

Maik Manthey

{"title":"Collective Intelligence Platforms – Does Communication Improve Performance Under Uncertainty?","authors":"Maik Manthey","doi":"10.2139/ssrn.3623976","DOIUrl":"https://doi.org/10.2139/ssrn.3623976","url":null,"abstract":"This paper reports the results of an experiment that investigates how collective communication on an online platform influences the quality of predictions of uncertain future events and thus the collective intelligence of a crowd in situations of uncertainty. Specifically, individual performance in predicting future events without communication is compared with performance after collective communication. Moreover, the paper investigates the effects of communication intensity on the change of prediction performance and explores the role of knowledge and intrinsic motivation. The findings show that topic-specific knowledge has a positive impact on prediction accuracy. Furthermore, the results support the expected positive effect of collective communication on online platforms on prediction accuracy. Additionally, the findings confirm an indirect effect of communication intensity on the improvement of prediction accuracy via knowledge gain. The influence of intrinsic motivation, however, depends on the topic of prediction. The results complement existing research on design factors of collective intelligence platforms by underscoring the effects of collective communication in large groups and by offering insight into the underlying processes. The results also have important practical implications for the design of collective intelligence platforms in situations of uncertainty. They highlight the need for collective communication to foster high prediction performance. Furthermore, the role of topic-specific knowledge is illustrated and should be considered when designing online platforms.","PeriodicalId":301794,"journal":{"name":"Communication & Computational Methods eJournal","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124898864","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: 0

Ensuring Privacy in Big Data 保障大数据隐私

Communication & Computational Methods eJournal Pub Date : 2020-05-30 DOI: 10.2139/ssrn.3614233

K. Chaudhary, Sahil Yadav, T. Singh, Dhruv Yaduvanshi, Monika Goyal

引用次数: 0

Fake News Swamping Interpersonal Communication in the Times of Corona Virus 冠状病毒时代，假新闻淹没人际交往

Communication & Computational Methods eJournal Pub Date : 2020-05-13 DOI: 10.2139/ssrn.3600129

Keshav Patel, H. Binjola

引用次数: 3

Attempt to Understand Public Health Relevant Social Dimensions of COVID-19 Outbreak in Poland 试图了解波兰COVID-19爆发的公共卫生相关社会层面

Communication & Computational Methods eJournal Pub Date : 2020-04-05 DOI: 10.2139/ssrn.3570609

A. Jarynowski, M. Wójta-Kempa, Daniel Płatek, Karolina Czopek

{"title":"Attempt to Understand Public Health Relevant Social Dimensions of COVID-19 Outbreak in Poland","authors":"A. Jarynowski, M. Wójta-Kempa, Daniel Płatek, Karolina Czopek","doi":"10.2139/ssrn.3570609","DOIUrl":"https://doi.org/10.2139/ssrn.3570609","url":null,"abstract":"Recently, the whole of Europe, including Poland, have been significantly affected by COVID-19 and its social and economic consequences which are already causing dozens of billions of euros monthly losses in Poland alone. Social behaviour has a fundamental impact on the dynamics of the spread of infectious diseases such as SARS-CoV-2, challenging the existing health infrastructure and social organization. Modelling and understanding mechanisms of social behaviour (e.g. panic and social distancing) and its contextualization with regard to Poland can contribute to better response to the outbreak on a national and local level. In the presented study we aim to investigate the impact of the COVID-19 on society by: (i) measuring the relevant activity in internet news and social media; (ii) analysing attitudes and demographic patterns in Poland. In the end, we are going to implement computational social science and digital epidemiology research approach to provide urgently needed information on social dynamics during the outbreak. This study is an ad hoc reaction only, and our goal is to signal the main areas of possible research to be done in the future and cover issues with direct or indirect relation to public health.","PeriodicalId":301794,"journal":{"name":"Communication & Computational Methods eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129977166","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: 47

Willingness to Pay for Status Signals in Online Luxury Markets 在线奢侈品市场中，人们愿意为身份买单

Communication & Computational Methods eJournal Pub Date : 2020-02-06 DOI: 10.2139/ssrn.3533481

Yue Yuan, M. Deily, Yuliang Yao

引用次数: 0