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Due to the increasing prominence of social network services, political communication has experienced a paradigm shift. To communicate with internet users, politicians, candidates, and political ... pages. Initially, they provide text-only material on their pages; later, to increase engagement, they include photos, images, and videos. This paper investigates image-based political images in Taiwan for
Ideological divisions in the United States have become increasingly prominent in daily communication. Accordingly, there has been much research on political polarization, including many recent ... computational perspective. By detecting political biases in a text document, one can attempt to discern and describe its polarity. Intuitively, the named entities (i.e., the nouns and the phrases that act as
, providing a trove of public opinion that diplomatic agents can collect. Social media bots actively participate in political events through influencing political communication and purporting coordinated ... well as the perception of political issues by social media users. Twitter; Bots; Digital diplomacy; Bridging; News; Social media 1 Introduction Digital diplomacy can be understood as the use of
web. A way of reducing polarization would be by distributing cross-partisan news among individuals with distinct political orientations, i.e., “reaching the bubbles”. This study investigates whether ... enables identifying highly central bubble reachers, nodes that can distribute content among users with diverging political opinions-a fundamental metric for the proposed study. After that, we analyzed how
Scientists collaborate through intricate networks, which impact the quality and scope of their research. At the same time, funding and institutional arrangements, as well as scientific and political ... arrangements or different scientific and political cultures, leave measurable fingerprints in collaboration networks [ 12–15 ]. For example, we know that resource-intensive fields (such as astrophysics or high
preceding election day. We explore different election models that assign political preference to either the ruling parties or the opposition. We find that models using data with geographical attributes ... analysis of public online data can outperform conventional polling methods, and that political analysis and general forecasting would likely benefit from incorporating such data in the immediate future
associated with them. Here, we study the dynamics of account creation and suspension on Twitter during two global political events: Russia’s invasion of Ukraine and the 2022 French Presidential election ... play a major role in modern democracies, enabling individuals to openly discuss political and societal issues as well as respond to crises and emergencies [ 1, 2 ]. However, they also expose users to a
Decentralization is a pervasive concept found across disciplines, including Economics, Political Science, and Computer Science, where it is used in distinct yet interrelated ways. Here, we develop ... ]. However, (de)centralization is not a new concept, and has different connotations across fields. In political science, it usually refers to the delegation of power to local communities with respect to a
Researchers have studied political ideology and polarization in many different contexts since their effects are usually closely related to aspects and actions of individuals and societies. Hence ... individuals and societies. Hence, being able to estimate and measure the changes in political ideology and polarization is crucial for researchers, stakeholders, and the general public. In this paper, we model
. We experimentally evaluate the performance of four baselines for forecasting activity in several social media datasets that record discussions related to three different geo-political contexts ... independent datasets (three geo-political contexts over two different social media platforms) and a total of 30 time series of topics in social media, we show that each baseline has advantages and limitations
delineated by political party affiliation and gender. Although Twitter’s user population leans Democratic and has an equal number of men and women according to Pew, our model’s estimates point to the presence ... of these settings, the 1For the topic of gun control polling suggests that attitudes on this subject vary strongly by political party affiliations and gender, which motivates our example. simulation
blockchain transaction network, (2) interactions on the dark web, and (3) a political conspiracy network. We quantify, for different likelihoods of individuals possessing information on their neighbors, p, the ... ) a network of transactions from a blockchain-based cryptocurrency [ 31 ], (ii) a network of interactions related to illegal activities via the dark web [ 32 ], and (iii) a political conspiracy
. In this work, we used bipartite news-user networks to study the news sharing behavior of main Argentinian media outlets in Twitter. Our objective was to understand the role of political polarization in ... users formed two groups identified by their consumption of media outlets, which also displayed a bias towards the two main parties that dominate the political life in Argentina. Overall, our results
News and social media play an important role in public political discourse. It is not clear what quantifiable relationships public discussions of politics have with official discourse within ... , Indiana University , Bloomington, IN , USA 1 University of Manchester , Manchester , United Kingdom 2 The London College of Political Technologists , Newspeak House, London , United Kingdom 3 Royal Holloway
political discourse. In this paper, we gauge the effects of echo chambers in information spreading phenomena over political communication networks. Mining 12 million Twitter messages, we reconstruct a network
publicly available datasets, demonstrating its effectiveness and generalisability in retrieving accurate debunks for misinformation in tweets, political debates, or speeches. • Extensive ablation experiments ... , while Shaar et al. [ 20 ] employ the Transformer-XH [ 21 ] to examine the role of context in political debates. On the other hand, Kazemi et al. [ 5, 22 ] address the task of debunked-narrative
computational challenges in studying these phenomena have attracted scholars from various disciplines, such as sociology, psychology, political science, business, computer science, engineering, and physics. The ... as sociology, psychology, or political science). As CSS is going through puberty – having established itself as an emerging field of research – it needs to advance its scientific practices to mature as
The recent rise of the political extremism in Western countries has spurred renewed interest in the psychological and moral appeal of political extremism. Empirical support for the psychological ... psychological and moral appeal of extremism in the U.S. context by analyzing Twitter data of 10,000 political extremists and comparing their text-based psychological constructs with those of 5000 liberal and 5000
success. Visual communication; Personal trait; Gender stereotype; Political campaign; Deep learning; Computer vision 1 Introduction The advancement of internet and communication technology has allowed ... ]. In contrast, feminine stereotypes view women as emotional, warm, and nurturing, which contrasts with the expected characteristics of a political leader, such as being outspoken and aggressive [11
increasingly make use of social media. This gives rise to growing concerns that social media may be strategically used to increase political division and influence public opinion as a tool of modern warfare ... establish the effectiveness of such interventions. Third, propaganda on social media may influence public opinion and increase political division. It is thus important that policy-makers are aware of the
