We introduce and implement a novel dimension-reduction method for high-dimensional time-varying contingency-tables: the Evolutionary Correspondence Analysis (ECA). ECA enables a comparative analysis of high-dimensional, diachronic processes by identifying a small number of shared latent variables that shape co-evolving data patterns. ECA offers new opportunities for the study of complex social phenomena, such as co-evolving public debates: Its capacity to inductively extract time-varying latent variables from observed contents of evolving debates permits an analysis of meanings shared by linked sub-discourses, such as linked national public spheres or the discourses led by distinct political camps within a shared public sphere. We illustrate the utility of our approach by studying how the Greek and German right-, centre-, and left-leaning news coverage of the European financial crisis evolved between its outbreak in 2009 until its institutional containment in 2012. Comparing the use of 525 unique concepts in six German and Greek outlets with different political leaning over an extended period of time, we identify two common factors accounting for those evolving meanings and analyse how the different sub-discourses influenced one another over time. We allow the factor loadings to be time-varying, and fit to the latent factors a time-varying vector-auto-regressive model with time-varying mean.

While some studies show ideological asymmetry in outgroup bias between rightists and leftists, those studies often target an ideologically biased outgroup. Here, we bypass this issue by targeting the ideological outgroups (rightists for leftists, and leftists for rightists). We rely on a magnetoencephalography-based approach delineating function-specific neural mechanisms to test for ideological asymmetries at multiple levels: explicit psychological self-reports, implicit behavioral bias, and neural oscillations. Using a computational model balancing the stimuli and screening 81 rightists and leftist Israeli individuals, we find ideological asymmetry with rightists being more biased at all three levels. Furthermore, the neural results add important insights by uncovering two underlying mechanisms: The first (late beta-band motor activity) is strongly associated with implicit behavior, while the second (early alpha-band dorsal anterior cingulate activity) reveal an antileftist bias for both groups. We discuss implications of the findings on bias, ideological asymmetry, their neural underpinnings, and social norms.

In recent decades, efforts have been made to gather and digitize the testimonies of living Holocaust survivors. The challenge we now face is attending to those thousands of human stories, which while safely stored in archives, may nevertheless disappear into oblivion. Despite recent advances in narrative analysis in the fields of Computational Literature (CL) and Natural Language Processing (NLP), existing language model technology still faces challenges in analyzing elaborate narratives and long texts. One such challenge is text segmentation – a long-standing issue in the area of CL and NLP.  In our work, we propose a computational method to approach this problem. Our research draws on testimony transcripts from the Shoah Foundation (SF) Holocaust  archive for supervised topic classification, which is then used as topics guidance for automatic segmentation.

Elites forming a perception of what the public wants is an important way in which democratic representation comes about, the assumption holds. Yet very few are the studies that examine the effect of elite perceptions on politician action. This study sets out to revisit the matter, measuring actual public priorities, elite perceptions of public priorities and a wide range of representative actions with regard to a few hundred concrete issues. We find that elite perceptions matter for their representative behavior; elites are much more likely to take action on issues they believe citizens care about. The effect exists across the board; perceptions matter in three different political systems, for different types of political action, and for electorally safe and unsafe, trustee and delegate politicians alike. These results speak to the micro-level factors connecting public and policy agendas, and the conditions under which representatives are attentive to public issue priorities.

This article proposes a common denominator among the various medieval ordinances attributed to Rabbi Gershom of Mainz (960-1028?). This organizing principle is the regulation–international public law style–of communications throughout the Jewish Diaspora. Setting clear rules with regard to travel, hosting, and supra-local social relations could encourage and promote contact between and across communities in the Jewish Diaspora.

This article explores the vocal human–machine relations embedded in text-to-speech (TTS) generators. Retracing the human sources behind the synthetic speech and tracking the remediation of the voice by the machine-learning algorithm, it argues that artificial intelligence (AI) speaking agents such as Siri and Alexa, as well as other TTS acts such as TikTok’s, are performing algorithmic ventriloquism. Speaking mechanically with the voices of professional voiceover artists, AI speech technologies algorithmically manipulate these voices, thus generating personas that hold an interconnected chain of tensions between the embodied and the virtual, the particular and the general, the human and the non-human, as well as between speech and writing. Algorithmic ventriloquism serves as an analytical framework to tie the techno-vocalic operation of the TTS system with its cultural, economic, philosophical, and sociolinguistic predicaments. The last section discusses the implications of algorithmic ventriloquism beyond the realm of the voice.

CEE countries faced significant political, economic, social, and technological transformations over the last four decades. Democratic processes, after relative stabilization, tremble again around polarizing values, populist leaders, or nationalistic ideologies. Online communication, especially social media platforms, play a vital role in shaping how citizens interact with the state, political actors, media, and other citizens. The collection of manuscripts focuses on some of the challenges democratic institutions in the region face, in transforming and sustaining civil society and attempts to capture how the digital media environments mitigate or exacerbate those challenges. Included manuscripts focus on the role that online platforms play in the satisfaction with democracy in the CEE region, the interactions between journalists and political actors, the strategic media coverage of elections, affective polarization and political antagonism, and discursive attempts to discourage young people from civic engagement.

The severe restrictions on public life following the spread of the COVID-19 pandemic affected Holocaust memorials and museums worldwide, especially in Europe, Israel, and the United States. These measures posed significant challenges to contemporary forms of Holocaust commemoration, which were based on collaborative practices of remembering, particularly related to the experience of presence at the memorial sites. In our chapter, we ask in which ways the pandemic had an accelerating effect on global Holocaust memory by tracing, analyzing, and identifying the institutionalized use of online platforms and digital formats on social media. We present results from an online survey conducted with 32 key institutions in the field of Holocaust commemoration in the Spring and Summer of 2020 and discuss them in the context of various forms of digital activities initiated by Holocaust memorials and museums in response to the pandemic. For that purpose, we have created a comprehensive database of 45 digital projects, which were released in the first months of the pandemic, and conducted a multimodal analysis of selected projects. We identified a significant increase in social media use and digital tools, in particular video formats, helping institutions to communicate virtually with potential audiences. Memorials utilized various social media features like live streams, stories, and hashtags to implement elements of participatory memory culture that offer users the possibility to participate in new collaborative forms of mediated commemoration. In doing so, they helped to establish like-minded and co-creative commemoration communities.

In April 2020 Historic England (HE), UK’s statutory adviser on historic environment, called out to citizens to share their lockdown experiences. Positioning the Second World War as a reference point, the call-out created a parallel in the enormity of the crisis and archiving efforts. Using the Picturing Lockdown collection as a case study, we ask: how is a historical event in-the-making memorialized and archived, and what is the relationship between past and present memory initiatives?

Combining visual and textual analysis with in-depth interviews, this research compared the HE’s official Picturing Lockdown collection, the Instagram collection via #PicturingLockdown, and the HE National Buildings Record in the Second World War. Findings demonstrate a shift in memory dynamics. First, agents of memory are no longer only political and institutional actors, but also the public at large, introducing new possibilities for publics to assume the power of collective story-telling. Second, social media presents novel ways of archiving, specifically from a representation of the past to documentation of the present. The combination of COVID-19, a worldwide crisis that transcends cultural specificities and space, set in an age of social media, wherein any individual can contribute to archiving practices, shapes and creates new ways of memorialization.

Climate anxiety—the feeling of dread and distress associated with worrying about the future of the planet—has been posited as a defining feature of Gen Z. This study examines youth communication around climate anxiety on YouTube, through a qualitative content analysis of 146 youth-created videos about climate anxiety, as well as the over 20,000 comments posted on them. Illustrating an emphasis on content rather than form, the videos in our corpus showed an in-depth engagement with the topic at hand, coupled with a simple, low-key aesthetic. The vast majority of videos assumed an imagined audience of young people who are concerned about the climate; thus, the goal was to provide information and advice rather than persuade about climate change. Our analysis illustrates the significance of insider conversations among youth, and the centrality of YouTube’s expressivity and connectivity affordances in allowing young people to engage with these topics on a personal and intimate level. At the same time, our research illuminates the mental toll of political expression for young people, and further highlights this connection between the affective and the political drive. On a theoretical level, our research offers and tests a broadly applicable model that explains how different social media platforms (in this case, YouTube) enable—as well as constrain—certain forms of political expression, through the interaction between their affordances, norms, and contents.