Communitas最新文献_第2页

Dynamics of Social Media Metrics and Fashion Subculture Among South African Young TikTok Users 南非年轻 TikTok 用户的社交媒体指标和时尚亚文化动态

IF 0.2

Communitas Pub Date : 2023-09-30 DOI: 10.38140/com.v28i.7461

Tatenda Chabata, Savanna Gouveia

{"title":"Dynamics of Social Media Metrics and Fashion Subculture Among South African Young TikTok Users","authors":"Tatenda Chabata, Savanna Gouveia","doi":"10.38140/com.v28i.7461","DOIUrl":"https://doi.org/10.38140/com.v28i.7461","url":null,"abstract":"The effect of TikTok globally has resulted in an increase in literature pertaining to the platform. Despite wide acknowledgment in social media, TikTok metrics and how they formulate fashion sub-cultures remains underexplored. This study explored TikTok metrics that resultantly formulate fashion subculture amongst Generation Z (Gen Z) TikTok users. The proposed conceptual framework was developed to assist marketing managers explore fashion subculture interest via various TikTok metrics. This research followed a qualitative approach. Data was collected through structured interviews, using convenience sampling among five Gen Z participants. Thematic analysis procedure was adopted and findings revealed that engagement metrics indicate strong potential in enabling fashion subculture among TikTok users. Furthermore, metrics enabled Gen Z users to discover fashion subculture content through hashtags, engagement in social exchanges through likes and comments, store digital fashion inspiration through saves and spread information through shares. These findings also allow for future studies to explore the limitation(s) phenomenon highlighted in this study. Recommendations were provided for fashion brands and practitioners. As this research suggests, can result in more refined trend analysis procedures as well as applicable direct marketing strategies through TikTok.","PeriodicalId":41956,"journal":{"name":"Communitas","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139333500","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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The depiction of Orania in the media (2013-2022): A quantitative analysis using Natural Language Processing (NLP) 媒体对奥拉尼亚的描述（2013-2022 年）：利用自然语言处理技术（NLP）进行定量分析

IF 0.2

Communitas Pub Date : 2023-09-30 DOI: 10.38140/com.v28i.7280

Burgert Senekal

{"title":"The depiction of Orania in the media (2013-2022): A quantitative analysis using Natural Language Processing (NLP)","authors":"Burgert Senekal","doi":"10.38140/com.v28i.7280","DOIUrl":"https://doi.org/10.38140/com.v28i.7280","url":null,"abstract":"The current article investigates the depiction of the town of Orania in the media. Being an exclusive Afrikaner town, this town is highly controversial and is often seen as a remnant of apartheid, leading residents of this town to form the perception that the media treats them unfairly. Using Natural Language Processing (NLP) techniques, namely a lexicon-based sentiment analysis classification and a machine-learning political bias classification, it is shown that the vast majority of news reports and opinion pieces on this town exhibit minimal political bias, and publications on this town are evenly distributed between left and right political bias. In addition, while the majority of news reports and opinion pieces published on this town are neutral, more publications are positive than negative. However, differences in the depiction of this town based on the language of publications are also discussed, with English publications more negative and Afrikaans publications more positive, and the majority of publications on this town are in Afrikaans. Overall, the study finds that while some individual publications present Orania in a very negative light, in general, the media reports on this town in a balanced way.","PeriodicalId":41956,"journal":{"name":"Communitas","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139331770","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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Moral Cultivation and the Quantified Self: Assessing the Self Understanding of Data Profiles Generated by AI with a Virtue Ethics Approach 道德修养与量化自我：用美德伦理学方法评估人工智能生成的数据档案的自我理解

IF 0.2

Communitas Pub Date : 2023-04-27 DOI: 10.7202/1098932ar

Ephraim Barrera

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Éditorial 社论

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Communitas Pub Date : 2023-04-27 DOI: 10.7202/1100301ar

A. Parada, Hugo Cyr

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Intelligence artificielle et application non contentieuse du droit : une réactualisation du problème du design institutionnel de Lon L. Fuller 人工智能与无争议法律应用:Lon L. Fuller的制度设计问题的更新

IF 0.2

Communitas Pub Date : 2023-04-27 DOI: 10.7202/1098934ar

William Guay

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Droit et soft ethics dans l’encadrement normatif de l’IA : une perspective pragmatiste 人工智能规范框架中的法律与软伦理:实用主义视角

IF 0.2

Communitas Pub Date : 2023-04-27 DOI: 10.7202/1098935ar

Andréane Sabourin Laflamme, Frédérick Bruneault

引用次数: 0

Making the Legal World: Normativity and International Computational Law 创造法律世界：规范性与国际计算法

IF 0.2

Communitas Pub Date : 2023-04-27 DOI: 10.7202/1098930ar

Émilie van den Hoven

{"title":"Making the Legal World: Normativity and International Computational Law","authors":"Émilie van den Hoven","doi":"10.7202/1098930ar","DOIUrl":"https://doi.org/10.7202/1098930ar","url":null,"abstract":"The attention devoted to so-called “computational law” has grown exponentially over recent years. However, to date, there has comparatively been much less discussion about the use of data-driven methods, including artificial intelligence, in the processes and institutions of international law. This paper discusses this in terms of “international computational law” and examines what the implications could be if the normativity of technology encounters the normativity of law in the context of international law-making processes. Will it be a smooth and fortuitous alignment or a surreptitious undermining of accepted legal practices—or something in between? To critically engage with this question, a closer look is had at current and future data-driven practices in international treaty-making, the identification of international custom and international institutional lawmaking. Consequently, three types of normativity (i.e., international legal, legal and technological) are analyzed in this context, building on an analysis of the fundamental underlying structure of law. This analysis of normativity leads to the conclusion that we cannot simply assume that these types of normativity will align organically when it comes to our international legal system. I therefore conclude this article by suggesting that more research should be conducted into an adequate conception of “international legal protection by design” to thoughtfully consider how to safeguard legal protection in an increasingly computationalized international legal order. This will be crucial if we want to ensure that international law in the algorithmic age affords us legal protection and that we design our global order with thoughtfulness, rather than encodethoughtlessness.","PeriodicalId":41956,"journal":{"name":"Communitas","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46158421","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

Workshopping AI: Who’s at the Table? 人工智能:谁在餐桌旁?

IF 0.2

Communitas Pub Date : 2023-04-27 DOI: 10.7202/1098933ar

Elia Rasky

{"title":"Workshopping AI: Who’s at the Table?","authors":"Elia Rasky","doi":"10.7202/1098933ar","DOIUrl":"https://doi.org/10.7202/1098933ar","url":null,"abstract":"In 2017, the Canadian federal government launched the “Pan-Canadian Strategy on Artificial Intelligence,” an ambitious plan to make Canada “a global leader in AI.” As part of this plan, the government sought to stimulate discussion about the ethical and societal implications of AI by sponsoring a series of AI & Society workshops. Hosted by the Canadian Institute for Advanced Research (CIFAR), these workshops brought together academics, engineers, and policymakers to discuss the impact of AI on healthcare, education, the modern workplace, Indigenous communities, and other areas. In its reports, CIFAR describes the AI & Society workshops as inclusive, diverse forums that allow actors from a range of different disciplinary, occupational, and ethnic backgrounds to express their opinions and concerns about AI. This paper investigates whether the AI & Society workshops are truly inclusive, or whether they privilege the voices and perspectives of some actors over others. It will be argued that, by inviting only “experts,” “thought leaders,” and “community leaders” to participate, the workshops systematically exclude laypeople and average consumers of technology. This is highly problematic since average consumers bear many of the social costs of advancements in AI. After critiquing the workshops, the paper proposes ways to amplify the voices of regular users of AI in public and intellectual discourse.","PeriodicalId":41956,"journal":{"name":"Communitas","volume":null,"pages":null},"PeriodicalIF":0.2,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45900543","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

L’influence normative de l’IA en droit de la propriété intellectuelle 人工智能对知识产权法的规范性影响

IF 0.2

Communitas Pub Date : 2023-04-27 DOI: 10.7202/1098931ar

M. Clément-Fontaine

引用次数: 0

Argument by Numbers: The Normative Impact of Statistical Legal Tech 数字论证:统计法律技术的规范影响

Communitas Pub Date : 2023-04-27 DOI: 10.7202/1098929ar

Laurence Diver, Pauline McBride

{"title":"Argument by Numbers: The Normative Impact of Statistical Legal Tech","authors":"Laurence Diver, Pauline McBride","doi":"10.7202/1098929ar","DOIUrl":"https://doi.org/10.7202/1098929ar","url":null,"abstract":"The introduction of statistical ‘legal tech’ raises questions about the future of law and legal practice. While technologies have always mediated the concept, practice, and texture of law, a qualitative and quantitative shift is taking place: statistical legal tech is being integrated into mainstream legal practice, and particularly that of litigators. These applications – particularly in search and document generation – mediate how practicing lawyers interact with the legal system. By shaping how law is ‘done’, the applications ultimately come to shape what law is. Where such applications impact on the creative elements of the litigator’s practice, for example via automation bias, they affect their professional and ethical duty to respond appropriately to the unique circumstances of their client’s case – a duty that is central to the Rule of Law. The statistical mediation of legal resources by machine learning applications must therefore be introduced with great care, if we are to avoid the subtle, inadvertent, but ultimately fundamental undermining of the Rule of Law. In this contribution we describe the normative effects of legal tech application design, how they are potentially (in)compatible with law and the Rule of Law as normative orders, particularly with respect to legal texts which we frame as the proper source of ‘lossless law’, uncompressed by statistical framing. We conclude that reliance on the vigilance of individual lawyers is insufficient to guard against the potentially harmful effects of such systems, given their inscrutability, and suggest that the onus is on the providers of legal technologies to demonstrate the legitimacy of their systems according to the normative standards inherent in the legal system.","PeriodicalId":41956,"journal":{"name":"Communitas","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136223636","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