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This study develops a computational method to investigate the predominant language styles in political discussions on Twitter and their connections with users' online characteristics.

This study gathers a large Twitter dataset comprising political discussions across various topics from general users. It utilizes an unsupervised machine learning algorithm with pre-defined language features to detect language styles in political discussions on Twitter. Furthermore, it employs a multinomial model to explore the relationships between language styles and users' online characteristics.

Through the analysis of over 700,000 political tweets, this study identifies six language styles: mobilizing, self-expressive, argumentative, narrative, analytic and informational. Furthermore, by investigating the covariation between language styles and users' online characteristics, such as social connections, expressive desires and gender, this study reveals a preference for an informational style and an aversion to an argumentative style in political discussions. It also uncovers gender differences in language styles, with women being more likely to belong to the mobilizing group but less likely to belong to the analytic and informational groups.

This study provides insights into the psychological mechanisms and social statuses of users who adopt particular language styles. It assists political communicators in understanding their audience and tailoring their language to suit specific contexts and communication objectives.

This study reveals gender differences in language styles, suggesting that women may have a heightened desire for social support in political discussions. It highlights that traditional gender disparities in politics might persist in online public spaces.

This study develops a computational methodology by combining cluster analysis with pre-defined linguistic features to categorize language styles. This approach integrates statistical algorithms with communication and linguistic theories, providing researchers with an unsupervised method for analyzing textual data. It focuses on detecting language styles rather than topics or themes in the text, complementing widely used text classification methods such as topic modeling. Additionally, this study explores the associations between language styles and the online characteristics of social media users in a political context.

The pandemic has enhanced the global phenomenon of disinformation. This paper aims to study the false news concerning COVID-19, spread through social media in Spain, by using the LatamChequea database for a duration from 01/22/2020, when the first false information has been detected, up to 03/09/2021.

A quantitative analysis has been conducted with regard to the correlation between fake news stories and the pandemic state, the motive to share them, their dissemination in other countries and the effectiveness of fact checking. This study is complemented by a qualitative method: a focus group conducted with representatives of different groups within the society.

Fake news has been primarily disseminated through several social networks at the same time, with two peaks taking place in over a half of the said false stories. The first took place from March to April of 2020 during complete lockdown, and we were informed of prevention measures, the country’s situation and the origin of the virus, whereas the second was related to news revolving around the coming vaccines, which occurred between October and November. The audience tends to neither cross-check the information received nor report fake news to competent authorities, and fact-checking methods fail to stop their spread. Further awareness and digital literacy campaigns are thus required in addition to more involvement from governments and technological platforms.

The main limitation of the research is the fact that it was only possible to conduct a focus group of five individuals who do not belong to generation Z due to the restrictions imposed by the pandemic, although a clear contribution to the analysis of the impact of fake news on social networks during the COVID-19 pandemic in Spain can be seen from the privileged experiences in each of the fields of work that were identified. In this sense, the results of the study are not generalizable to a larger population. On the other hand, and with a view to future research, it would be advisable to carry out a more specific study of how fake news affects generation Z.

This research is original in nature, and the findings of this study are valuable for business practitioners and scholars, brand marketers, social media platform owners, opinion leaders and policymakers.

The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value. This paper aims to shed light on the interplay of the different topics involved in the data economy, as found in the literature. The study research provides a comprehensive understanding of the opportunities, challenges and implications of the data economy for businesses, governments, individuals and society at large, while investigating its impact on business value creation, knowledge and digital business transformation.

The authors conducted a literature review that generated a conceptual map of the data economy by analyzing a corpus of research papers through a combination of machine learning algorithms, text mining techniques and a qualitative research approach.

The study findings revealed eight topics that collectively represent the essential features of data economy in the current literature, namely (1) Data Security, (2) Technology Enablers, (3) Business Implications, (4) Social Implications, (5) Political Framework, (6) Legal Enablers, (7) Privacy Concerns and (8) Data Marketplace. The study resulting model may help researchers and practitioners to develop the concept of data economy in a structured way and provide a subset of specific areas that require further research exploration.

Practically, this paper offers managers and marketers valuable insights to comprehend how to manage the opportunities deriving from a constantly changing competitive arena whose value is today also generated by the data economy.

Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.

This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

Maneno mengi yanayohusu haki za binadamu na haki za kiteknolojia hayajatafsiriwa katika lugha ya Kiswahili. Kwa hivyo, wataalamu wa teknolojia na watetezi wa haki za kidijitali hutumia maneno ya Kiingereza – hata bila utohozi – wanapozungumzia haki za kiteknolojia. Hali hii ya mambo inachangia udhoofu fulani katika utetezi wa haki za kidijitali kwani wanaojaribu kueleza jamii umuhimu wa haki hizi hulazimishwa kutegemea msamiati wa Kiingereza usiyo na msingi au viungo na lugha ya Kiswahili Katika makala hii, tutazungumzia umuhimu wa kukaribisha watu kutumia lugha za Kiafrika kwenye mtandao.

Kiswahili ni lugha ya Kiafrika inayozungumzwa katika eneo zaidi sana duniani. Karibu watu milioni mia moja na arobaini Afrika mashariki wanazungumza Kiswahili kama lugha yao ya kwanza au ya pili, miongoni mwao Wakenya na Watanzania, wenyeji wa nchi ambamo Kiswahili ni lugha ya kitaifa. Tena kuna historia ndefu ya kutumiwa kwa lugha ya Kiswahili katika uandishi, uchapishaji na ubunifu wa utamaduni wa kisasa. Kiswahili pekee yake ndiyo lugha ya asili ya Kiafrika inayotumika kama lugha ya maalum ya Umoja wa Mataifa za Kiafrika. Hata hivyo, kwa upande wa matumizi ya Kiswahili, hasa kwenye mada ya teknolojia, Kiswahili imewachwa nyuma.

Zaidi ya maneno rasmi, uwepo wa lugha za Kiafrika ni muhimu kuimarisha jumuiya za Kiafrika mtandaoni kwani lugha inalenga sana haki na utambulisho wa watu. Miradi za kutafsiri maneno za kiteknolojia katika lugha ya Kiswahili inahimiza jumuiya za Afrika Mashariki kuunda jamii inayosimamia matakwa yao vyema. Makala hii basi inazingatia umuhimu wa lugha kwenye kuunda jamii na katika hatua za kuondoa mbinu za kikoloni mtandaoni ili wenyeji wa Afrika Mashariki wajione mtandaoni kwa ujumla wao wote. Makala pia itazingatia semiotiki ya lugha katika ubunifu wa teknolojia, na umuhimu wa kutafsiri jamii ya lugha ya Kiswahili katika harakati za kuondoa ukoloni katika ubunifu huu. Lakini sio tu kwamba lugha ya Kiswahili ndio pekee inayoweza kuondoa mbinu za kikoloni mtandaoni, kwani pia lugha hiyo ina ishara za kutawalwa kwa jamii fulani. Bali makala hii inatumia mfano wa Kiswahili kuhimiza utumiaji wa lugha za kiasili au za kimama mtandaoni ili kulinda mustakabali wa kidijitali wa umma.

Umuhimu wa makala hii ni kuashiria jipya umuhimu wa lugha katika harakati za kuendeleza haki za kidijitali na hasa kuondoa mbinu za kikoloni kwenye teknolojia, swala lisilowahijadiliwa katika lugha ya Kiswahili.

The study deploys Anthias' intersectional framework of social spaces and her concept of translocational positionality to explore the barriers to entrepreneurship for refugee entrepreneurs in the United Kingdom (UK). In particular, the study aims to assess how migrant identities require a specific form of business support.

A total of 32 semi-structured interviews with 14 refugee entrepreneurs and 18 business support agents were conducted between April and October 2022 and, together with field notes, were combined for thematic analysis in NVivo 12.

Organisational, representational, intersubjective and experiential barriers combined to create practical and psychological deterrents to entrepreneurship for refugees. However, an explicitly humanistic and de-centred approach to business support was (partially) able to counter such barriers.

Policymakers and business support agencies should consider intersectional characteristics and the importance of a compassionate and individual approach when designing business support programmes for refugee entrepreneurs.

Two intersectional concepts of social spaces and translocational positionality are brought into conversation with each other, creating a novel approach to framing the barriers to entrepreneurship for refugees.

This paper discusses art and sustainability in the 21st century; therefore, we can't ignore the huge technological revolution that currently exists. Art throughout history has been associated to religion, politics and economics, but now it is also connected to technology. Hence, the question arises: Can digital technologies achieve sustainability? In this regard, the research will address the effective role of digital technology in achieving sustainability in art field and its practices.

The main research material is derived from my interviews with artists, professors, curators, gallerists and art historians. In addition to the references of sustainability in various fields that are related to art, as Sustainability has become a goal that all sectors are striving to achieve to preserve our planet, as much as we can, especially in the field of art which is closely related to the environment.

This paper explores the possibility of achieving sustainability in art field and its practices through digital technologies. In addition, it reveals that countries that have developed digital technologies are able to apply the digital technologies in art and its practices to achieve sustainability, in contrast, developing countries they could not achieve sustainability through digital technologies.

As part of a joint research project between a developing and developed country, the paper clarifies the different opinions from 14 countries about the extent to which sustainability in art is achieved through digital technology. It also outlines some successful and unsuccessful experiences in achieving sustainability in art.

Social responsibility (SR) has become critical in facilitating the sustainability of new infrastructure construction (NIC) and is also a nonnegligible aspect in its management. Although studies attempting to explore this issue from various and disparate perspectives have become increasingly popular, no consensus has yet been reached regarding what SR factors affect NIC management. This paper aims to establish an inventory of SR factors for NIC and reveal a comprehensive framework for SR of NIC (NIC-SR) management through an in-depth analysis of the relationships among factors.

This article proposes a mixed-review method that combines the preferred reporting items for systematic reviews and meta-analyses and content analysis methods as a solution.

From 62 chosen publications on NIC-SR published in peer-reviewed journals between 2010 and 2022, a total of 44 SR factors were found. These 44 SR factors were divided into 4 interconnected categories: political, ethics-environmental, legal and economic. Based on the interactions among SR factors and incorporating the impact of the four categories of SR factors on NIC management, an integrated framework from micro to macro was developed.

This paper educates researchers and practitioners about the SR factors that must be considered to improve the sustainability of NIC management and provides practical implications for architectural, engineering and construction (AEC) practices. Furthermore, it serves as an impetus for governments to improve their programs and policies and fulfill social responsibilities.

In the context of the digital age, this study aims to investigate the impact of citizens' digital participation on the scientific and democratic decision-making processes of the government. Specifically, the authors focus on the factors influencing citizens' digital participation, with a particular emphasis on their digital skills.

Exploring the influence of citizens' digital skills on their digital participation is of great practical significance for eliminating the digital divide and for promoting a life characterized by enriched digital interactions with the public. This study selected the social consciousness survey database of Chinese netizens in 2017, used ordered Probit and OLS models, and comprehensively used the instrumental variable method (IV), causal stepwise regression method and bootstrap method to empirically verify and construct a mechanism model of the influence of digital skills on citizens' digital participation.

The empirical findings indicate a noteworthy positive association between citizens' proficiency in digital skills and their active engagement in digital activities. This relationship is positively mediated by factors such as political interest and attention to social issues, underscoring their role in encouraging greater digital participation. Conversely, national identity exhibits a counteractive influence on this mechanism, potentially discouraging digital engagement. Notably, the impact of digital skill mastery on digital participation is more pronounced among non-elderly individuals and those residing in metropolitan areas, highlighting the significance of demographic characteristics in this context.

These research results can help the government and other organizations make better decisions and facilitate improvement of citizens' digital participation by promoting their mastery of digital skills.

The purpose of this study is to understand the role and impact of gender on reading habits. It is an attempt to explore the probable reason why or why not gender differences take place concerning reading time, reading purpose, reading resources and digital devices among undergraduate students in the digital environment.

For this study, the researcher used a survey-based approach. To accomplish the study’s goals, a meticulously designed questionnaire has been disseminated among undergraduate students in selected colleges located in the western district of Tripura, a northeastern state in India.

The study found that female respondents have a slightly higher level of liking for reading than males. For both genders, the major purpose of reading is to enhance their knowledge unvaryingly. Furthermore, it has been observed that female respondents read electronic and print reading material more frequently compared to their male counterparts. Female respondents read fiction more frequently than males in print form. Both genders have more ease in reading print resources than digital resources. Among all digital devices, respondents are most competent at using mobile devices and prefer them for digital reading.

As part of the pilot study, investigators surveyed a limited sample population, where the participation of students was further lower because of the unavailability of students.

The gender-based level of competency with digital devices is studied as a variable among the adult population to measure its correlation with reading habits.