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Social media offers youth a virtual platform to build community and amplify underrepresented voices. Online spaces are often used to respond to societal issues and adopt various roles. This article aims to focus on Laura's case, spotlighting the intersection of online activism by a youth of Color, and social media literacies used to demonstrate civic engagement around contemporary social justice issues.

Through case study methods, the author examined how a youth of Color used social media to employ critical literacy practices as tools for civic engagement, advocating for social justice, and navigating the complexities of identity work in online spaces, spotlighting Laura, a self-identified Mexican and Ecuadorian Latine 18-year-old activist, to understand how social media shapes multimodal literacy practices, how youth build culture, engage in literacies and craft civic identities online.

Findings examine Laura’s social media literacies toward social justice activism, contributing to the understanding of youth activism, digital identity and civic engagement. Findings will also examine how Laura enacts online literacy practices related to her racialized identities, and how she engages in activism and civic participation related to social justice issues. These findings contribute to the understanding of youth activism, digital identity and civic engagement.

This paper focuses on Laura’s practices within the larger frame of politics, digital space and youth culture. Moreover, it also highlights the potential of youths' multifaceted social media literacies to redefine the educator's role by fostering youth identity and social justice literacies.

Facilitated by social media, employee activism is on the rise, often in response to organizations' own socially irresponsible behavior. Given that digital employee activism is a vital yet underexplored research arena, the purpose of this study is to propose and test a theoretical model for understanding this phenomenon.

A survey was launched on Dynata, a US-based consumer panel company. A total of 657 representative full-time employees working at different levels of positions participated the survey to indicate their perceptual and behavioral responses to organizational social irresponsibility.

Moral obligation was a significant factor in mediating the relationship between organizational social irresponsibility and digital employee activism. Ideological psychological contract adds supplemental weights moderating the mediation effect on digital employee activism.

This study, based on social regulation theory, explores the rise of employee activism in response to organizations’ socially irresponsible behavior. The study identifies moral obligation and ideological psychological contract as the driving forces behind digital employee activism. This study advances digital employee activism scholarship by incorporating the normative lens of moral obligation and ideological psychological contract.

“Web3” is a practice in participatory digital infrastructures through the ability to read, write, and control own digital assets. Web3 is hailed as the alternative to the failings of big tech, offering a participatory mode of digital organization and shared ownership of digital infrastructure through algorithmic governance. This paper offers an introductory playbook to researchers entering the field of Web3 by providing an analytical lens to approach the emergent field of Web3 as “infrastructuring.” It argues that Web3 can be understood as a collective, community exploration of “how to infrastructure.” Drawing on qualitative examples derived from digital ethnographic methods, the study reveals that play, politics, and prefiguration are fundamental qualities underpinning Web3’s vision of offering an “exit” from established institutional infrastructures. Therefore, a primary challenge Web3 faces in its governance experiments centers around the question of how to effectively build and manage infrastructure.

Much of the vocabulary of digital rights have not been translated into Kiswahili. This means that technology experts and digital rights defenders often use English words when they are discussing technology. This contributes to the frailty of efforts to defend digital rights because those who attempt to explain the importance of these issues to the broader societies are forced to rely on English vocabulary that is not rooted in or connected to Kiswahili contexts. This paper aims to discuss the importance of inviting people to use African languages on the internet.

Kiswahili is the most widely spoken African language in the world. Nearly 140 million people in East Africa speak Kiswahili as a first or second language, including in Kenya and Tanzania where it is the national language. There is a long history of Kiswahili writing, publishing and cultural production in Kiswahili. Kiswahili is also the only African language that is an official language at the African Union. Even so, Kiswahili lags behind significantly in the development of a vocabulary and grammar of technology.

Beyond vocabulary, the use of African languages online is important to strengthening democracy on the internet because language is keenly connected to identity. Efforts to translate the vocabulary of technology into Kiswahili are aimed at encouraging societies in East Africa to build communities online that represent their interests keenly. This article therefore looks at the importance of language in building society and the efforts by residents of East Africa to decolonise the internet, so that they are able to exist in their fullness on the internet. The article further examines the semiotics of language in digital innovation, and the importance of representing Kiswahili language communities properly online in efforts to decolonise the internet. This paper does not presume that Kiswahili is the only African language that can decolonise the internet, because even Kiswahili has a history of domination over other language communities in the region. Rather, the article uses the example of Kiswahili to urge the use of indigenous languages to defend digital diversity.

The importance of this article is in demonstrating the importance of language in the movement to develop digital rights and especially to remove colonial approaches to technology, an issue that, to the best of the author’s knowledge, has never been discussed in relation to the Kiswahili language.

This paper aims to explore the accelerations and constraints libraries, archives, museums and heritage organisations (“collections-holding organisations”) face in their role as collection data providers for digital infrastructures. To date, digital infrastructures operate within the cultural heritage domain typically as data aggregation platforms, such as Europeana or Art UK.

Semi-structured interviews with 18 individuals in 8 UK collections-holding organisations and 2 international aggregators.

Discussions about digital infrastructure development often lay great emphasis on questions and problems that are technical and legal in nature. As important as technical and legal matters are, more latent, yet potent challenges exist too. Though less discussed in the literature, collections-holding organisations' capacity to participate in digital infrastructures is dependent on a complex interplay of funding allocation across the sector, divergent traditions of collection description and disciplinaries’ idiosyncrasies. Accordingly, we call for better social-cultural and trans-sectoral (collections-holding organisations, universities and technological providers) understandings of collection data infrastructure development.

The authors recommend developing more understanding of the social-cultural aspects (e.g. disciplinary conventions) and their impact on collection data dissemination. More studies on the impact and opportunities of unified collections for different audiences and collections-holding organisations themselves are required too.

Sustainable financial investment across the heritage sector is required to address the discrepancies between different organisation types in their capacity to deliver collection data. Smaller organisations play a vital role in diversifying the (digital) historical canon, but they often struggle to digitise collections and bring catalogues online in the first place. In addition, investment in existing infrastructures for collection data dissemination and unification is necessary, instead of creating new platforms, with various levels of uptake and longevity. Ongoing investments in collections curation and high-quality cataloguing are prerequisites for a sustainable heritage sector and collection data infrastructures. Investments in the sustainability of infrastructures are not a replacement for research and vice versa.

The authors recommend establishing networks where collections-holding organisations, technology providers and users can communicate their experiences and needs in an ongoing way and influence policy.

To date, the research focus on developing collection data infrastructures has tended to be on the drive to adopt specific technological solutions and copyright licensing practices. This paper offers a critical and holistic analysis of the dispersed experience of collections-holding organisations in their role as data providers for digital infrastructures. The paper contributes to the emerging understanding of the latent factors that make infrastructural endeavours in the heritage sector complex undertakings.

This study aims to understand and explain factors that influence how, when and under which conditions local governments adopt digital technologies for citizen collaboration. It discusses what these findings mean for city digital twin adoption.

This research uses the systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) process to collect and evaluate evidence needed to answer the research questions. It uses the technology–organisation–environment (TOE) framework and proposes an additional dimension: “stakeholders” as the analytical framework.

Critical influential factors identified include the technology dimension: security and privacy; organisation dimension: top management support; environment dimension: political influence; and stakeholders’ dimension: technological experience.

This research extends the TOE framework and comprehensively analyses those factors which relate to citizens but significantly impact local government’s decision to adopt digital tools for collaboration purposes. This research posits that in the context of local government technology adoption for collaboration, both the organisation and stakeholders’ dimensions are critical.

This research contributes to the government-citizen discourse and provides a constructive understanding of technological transformation in collaborative planning. The findings are helpful for local governments, researchers and geospatial industries as they offer a critical understanding of digital technology adoption, particularly city digital twins, for collaborative planning.

This study extends the TOE framework to include aspects relating to citizens. It provides a nuanced understanding of the influential factors and intricacies of technology adoption by local governments for citizen collaboration. It also discusses relevant issues of city digital twins’ adoption by local governments for citizen participation.

The paper analyses the role and impact of Twitter in Spanish political communication, specifically focusing on how the platform influences the visibility and relevance of political candidates' messages during various election campaigns and across various political dimensions – government vs. opposition, traditional vs. populist, and left-wing vs. right-wing.

The study employs a longitudinal quantitative analysis perspective regarding the number and impact of messages posted by the main candidates in the six general elections held in Spain during the period 2011–2023. The tweets were automatically collected through the Twitter API for 54 days, between the call for elections and voting. The equalisation versus normalisation framework regarding social media is used.

The findings showed that the dissemination of messages on Twitter exhibited a skewed distribution characterized by notable differences in the unequal relevance of tweets between candidates on the left-right and traditional-populist axes, especially among the tweets with the highest impact. Tweets from opposition and populist candidates presented a greater level of relevance than those from government and conventional candidates. No discernible differences were identified along the ideological spectrum, indicating a high degree of cross-partisan engagement on social media. Findings indicate that opposition and populist candidates are strategically utilising Twitter, challenging the notion of normalisation and emphasising the equalising potential of social networks.

The study offers a long-term view of political communication, which is relatively rare in social media research, often focused on shorter time frames or single election cycles. The multidimensional comparison provides nuanced insights into how different political identities and affiliations are manifested and engaged with on social media.

The study utilises unique survey data gathered from 12,427 party members. The dependent variable measures party members’ in-party commitment and is based on willingness to donate money, to contribute effort, the feeling of belonging in the party network and social trust in the party network.

In this article, we study how different extra-parliamentary online and offline activities are associated with in-party commitment amongst political party members from the six largest Finnish parties. We especially delve into the differences between members of the Finnish parties.

We found that extra-parliamentary political activity, including connective action through social media networks and collective action through civic organisations, is highly associated with members’ in-party commitment. Additionally, members of the newer identity parties more effectively utilised social media networks, whilst the traditional interest parties were still more linked to traditional forms of extra-parliamentary political action.

By employing the sociological network theory perspective, the study contributes to ongoing discussions surrounding the impact of social media on political participation amongst party members, both within and beyond the confines of political parties.

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.

This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.

In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.

Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.

Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.