Search results
1 – 10 of 373Judith Corcoba and Raigam Jafet Martinez Portilla
Jihadist terrorism is one of the most important current global issues. Terrorism is an instrument of fear and fear an instrument of news. The purpose of this paper is to…
Abstract
Purpose
Jihadist terrorism is one of the most important current global issues. Terrorism is an instrument of fear and fear an instrument of news. The purpose of this paper is to understand the difference in propaganda between the most powerful terrorist groups and the association with the Islamic State group (ISIS).
Design/methodology/approach
This cross-sectional study has been carried out on the usage of propagandistic material. For the analyses, two different groups have been created, propaganda emitted from the Islamic State group and propaganda from the other main terrorist groups (Boko Haram, Taliban, Al-Qaeda).
Findings
It has been proved that there are significant differences between the Islamic State propaganda and the other main groups.
Originality/value
This study has been conducted in order to provide a comparison of the propaganda content of the main jihadist groups.
Details
Keywords
Abstract
Details
Keywords
Abstract
Details
Keywords
Social networks (SNs) have recently evolved from a means of connecting people to becoming a tool for social engineering, radicalization, dissemination of propaganda and…
Abstract
Purpose
Social networks (SNs) have recently evolved from a means of connecting people to becoming a tool for social engineering, radicalization, dissemination of propaganda and recruitment of terrorists. It is no secret that the majority of the Islamic State in Iraq and Syria (ISIS) members are Arabic speakers, and even the non-Arabs adopt Arabic nicknames. However, the majority of the literature researching the subject deals with non-Arabic languages. Moreover, the features involved in identifying radical Islamic content are shallow and the search or classification terms are common in daily chatter among people of the region. The authors aim at distinguishing normal conversation, influenced by the role religion plays in daily life, from terror-related content.
Design/methodology/approach
This article presents the authors' experience and the results of collecting, analyzing and classifying Twitter data from affiliated members of ISIS, as well as sympathizers. The authors used artificial intelligence (AI) and machine learning classification algorithms to categorize the tweets, as terror-related, generic religious, and unrelated.
Findings
The authors report the classification accuracy of the K-nearest neighbor (KNN), Bernoulli Naive Bayes (BNN) and support vector machine (SVM) [one-against-all (OAA) and all-against-all (AAA)] algorithms. The authors achieved a high classification F1 score of 83\%. The work in this paper will hopefully aid more accurate classification of radical content.
Originality/value
In this paper, the authors have collected and analyzed thousands of tweets advocating and promoting ISIS. The authors have identified many common markers and keywords characteristic of ISIS rhetoric. Moreover, the authors have applied text processing and AI machine learning techniques to classify the tweets into one of three categories: terror-related, non-terror political chatter and news and unrelated data-polluting tweets.
Details
Keywords
Recent years have seen the development of new approaches to the study of gender and sexuality in childhood, with attention given to socio-historical, cultural and political…
Abstract
Recent years have seen the development of new approaches to the study of gender and sexuality in childhood, with attention given to socio-historical, cultural and political contexts. This chapter aims to contribute towards a limited field of research on queer childhood and youth in Central Asia by considering how narratives of queer childhood in Kazakhstan are culturally produced. This chapter draws on the material from in-depth interviews of 11 queer people living in Kazakhstan, focussing on their narratives of childhood. The study exposes the effect of silence about non-heteronormative identities in Kazakhstan on queer children. Narratives of bullying and managing school violence are explored along with narratives of queer childhood within the families of origin. Lastly, the chapter foregrounds instances of agency and resilience, considering how queer children manage to steer themselves away from being an ‘impossible subject’ and contest dominant societal attitudes and discourses.
Details
Keywords
This paper aims to unify fragmented definitions of fake news and also present a comprehensive classification of the concept. Additionally, it provides an agenda for future…
Abstract
Purpose
This paper aims to unify fragmented definitions of fake news and also present a comprehensive classification of the concept. Additionally, it provides an agenda for future marketing research based on the findings.
Design/methodology/approach
A review of 36 articles investigating fake news from 1990 to 2020 was done. In total, 615 papers were found, and the article pool was refined manually in two steps; first, articles were skimmed and scanned for nonrelated articles; second, the pool was refined based on the scope of the research.
Findings
The review resulted in a new definition and a collective classification of fake news. Also, the feature of each type of fake news, such as facticity, intention, harm and humor, is examined as well, and a definition for each type is presented.
Originality/value
This extensive study, to the best of the author’s knowledge, for the first time, reviews major definitions and classification on fake news.
Objetivo
Este artículo pretende unificar las definiciones fragmentadas de las noticias falsas y también presentar una clasificación exhaustiva del concepto. Además, ofrece una agenda para futuras investigaciones de marketing basada en los resultados.
Diseño
Se realizó una revisión de 36 artículos que investigaban las noticias falsas desde 1990 hasta 2020. Se encontraron 615 artículos, y el grupo de artículos se refinó manualmente en dos pasos, primero, se descremaron los artículos y se escanearon los artículos no relacionados, segundo, el grupo se refinó basado en el alcance de la investigación.
Resultados
La revisión dio como resultado una nueva definición y una clasificación colectiva de las noticias falsas. Además, se examinan las características de cada tipo de noticias falsas, como la facticidad, la intención, el daño y el humor, y se presenta una definición para cada tipo.
Originalidad
este amplio estudio revisa por primera vez las principales definiciones y la clasificación de las noticias falsas.
目的
本文旨在统一假新闻的零散定义, 并对假新闻的概念进行全面的分类。此外, 它还根据本文的研究结果为未来的营销研究提供了一个议程。
设计/方法/途径
对1990年至2020年期间调查假新闻的36篇文章进行了回顾。一共发现了615篇论文, 并分为两步对此文章库进行了人工提炼:首先, 对文章进行略读和扫描以找出非相关文章, 其次, 根据研究范围对文章库进行了提炼。
研究结果
此次审查导致了对假新闻的新定义和集体分类。此外, 还分析了假新闻的真实性、意图、危害性、幽默性等各种类型的特征, 并给出了各种类型的定义。
原创性
此项涉及广泛假新闻内容的研究首次回顾了关于假新闻的主要定义和分类。
Details
Keywords
Pyemo N. Afego and Imhotep P. Alagidede
This paper explores how a firm's public stand on a social-political issue can be a salient signal of the firm's values, identity and reputation. In particular, it investigates how…
Abstract
Purpose
This paper explores how a firm's public stand on a social-political issue can be a salient signal of the firm's values, identity and reputation. In particular, it investigates how boycott participation–conceptualized as a cue of a corporation's stand on important social-political issues–may affect the stock market valuation of that corporation, as well as how corporations legitimise their stand on the issues.
Design/methodology/approach
The authors employ a mixed-methods design that uses both qualitative techniques (content analysis) and quantitative methods (event study methodology) to examine a sample of US firms who participated in a boycott campaign that sought to call attention to issues of hate speech, misinformation and discriminatory content on social media platform Facebook.
Findings
Findings from the qualitative content analysis of company statements show that firms legitimise their stand on, and participation in, the boycott by expressing altruistic values and suggesting to stakeholders that their stand aligns not only with organizational values/convictions but also with the greater social good. Importantly, the event study results show that firms who publicly announced their intention to participate in the boycott, on average, earn a statistically significant positive abnormal stock return of 2.68% in the four days immediately after their announcements.
Research limitations/implications
Findings relate to a specific case of a boycott campaign. Also, the sample size is limited and restricted to US stocks. The signalling value of corporate social advocacy actions may vary across countries due to institutional and cultural differences. Market reaction may also be different for issues that are more charged than the ones examined in this study. Therefore, future research might investigate other markets, use larger sample sizes and consider a broader range of social-political issues.
Practical implications
The presence of significant stock price changes for firms that publicly announced their decision to side with activists on the issue of hate propaganda and misinformation offers potentially valuable insights on the timing of trades for investors and arbitrageurs. Insights from the study also provide a practical resource that can be used to inform organizations' decision-making about such issues.
Social implications
Taking the lead to push on social-political issues, such as hate propaganda, discrimination, among others, and communicating their stands in a way that speaks to their values and identity, could be rewarding for companies.
Originality/value
This study provides novel evidence on the impact that corporate stances on important social-political issues can have on stock market valuation of firms and therefore extends the existing related research which until now has focused on the impact on consumer purchasing intent and brand loyalty.
Details
Keywords
Ximena Alejandra Flechas, Carlos Kazunari Takahashi and Júlio César Bastos de Figueiredo
The ongoing business dynamics show two aspects for generating innovation: first, high-impact innovations are developed jointly by several actors, such as universities…
Abstract
Purpose
The ongoing business dynamics show two aspects for generating innovation: first, high-impact innovations are developed jointly by several actors, such as universities, enterprises, and governments. Second, startups are better suited to develop innovation during crises or periods of low growth as experienced at the moment. Based on these aspects and drawing on the constructs of the triple helix, this study analyzes the influence between the characteristics of the actors on the quality of the startup ecosystem from a global view.
Design/methodology/approach
The study examines the cross-section data of 35 countries between 2017 and 2018 and applies the partial least squares structural equation modeling (PLS-SEM) for assessing the relationships between the triple helix on the quality of the startup ecosystem on a country-level.
Findings
The findings suggest that each actor of the triple helix individually does not positively affect the quality of the startup ecosystem. Yet, when analyzing the actors jointly by creating a second-order latent variable (i.e. triple helix), the study found out that in this way, the triple helix construct has a positive effect on the quality of the startup ecosystem.
Originality/value
Although a large body of prior literature indicates the importance of generating interrelationships among the different entities involved in ecosystems, few studies provide empirical evidence from a global perspective of the need for these entities to act in an overlapping manner. The present study supports previous research and reinforces the importance of the triple helix for a more innovative environment.
Details