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Temperature impact on the economic growth effect: method development and model performance evaluation with subnational data in China
Temperature-economic growth relationships are computed to quantify the impact of climate change on the economy. However, model performance and...
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Does noise affect housing prices? A case study in the urban area of Thessaloniki
Real estate markets depend on various methods to predict housing prices, including models that have been trained on datasets of residential or...
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Mental health concerns precede quits: shifts in the work discourse during the Covid-19 pandemic and great resignation
To study the causes of the 2021 Great Resignation, we use text analysis and investigate the changes in work- and quit-related posts between 2018 and...
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Bayesian inference of transition matrices from incomplete graph data with a topological prior
Many network analysis and graph learning techniques are based on discrete- or continuous-time models of random walks. To apply these methods, it is...
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The structure of segregation in co-authorship networks and its impact on scientific production
Co-authorship networks, where nodes represent authors and edges represent co-authorship relations, are key to understanding the production and...
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Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls
The detection of state-sponsored trolls operating in influence campaigns on social media is a critical and unsolved challenge for the research...
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Investigating the contribution of author- and publication-specific features to scholars’ h-index prediction
Evaluation of researchers’ output is vital for hiring committees and funding bodies, and it is usually measured via their scientific productivity,...
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How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical events
Social media moderation policies are often at the center of public debate, and their implementation and enactment are sometimes surrounded by a veil...
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Diversity dilemmas: uncovering gender and nationality biases in graduate admissions across top North American computer science programs
Although different organizations have defined policies towards diversity in academia, many argue that minorities are still disadvantaged in...
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The concept of decentralization through time and disciplines: a quantitative exploration
Decentralization is a pervasive concept found across disciplines, including Economics, Political Science, and Computer Science, where it is used in...
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Can Google Trends predict asylum-seekers’ destination choices?
Google Trends (GT) collate the volumes of search keywords over time and by geographical location. Such data could, in theory, provide insights into...
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Emergent local structures in an ecosystem of social bots and humans on Twitter
Bots in online social networks can be used for good or bad but their presence is unavoidable and will increase in the future. To investigate how the...
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Using word embeddings to analyse audience effects and individual differences in parenting Subreddits
This paper explores how individuals’ language use in gender-specific groups (“mothers” and “fathers”) compares to their interactions when referred to...
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Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems
Complex systems often comprise many kinds of components which vary over many orders of magnitude in size: Populations of cities in countries,...
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Arab reactions towards Russo-Ukrainian war
The aim of this paper is to analyze the Arab peoples reactions and attitudes towards the Russo-Ukraine War through the social media of posted tweets,...
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Russian propaganda on social media during the 2022 invasion of Ukraine
The Russian invasion of Ukraine in February 2022 was accompanied by practices of information warfare, yet existing evidence is largely anecdotal...
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Amenity complexity and urban locations of socio-economic mixing
Cities host diverse people and their mixing is the engine of prosperity. In turn, segregation and inequalities are common features of most cities and...
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Perceived masculinity from Facebook photographs of candidates predicts electoral success
Politicians have used the web and social media to circumvent the gatekee** behavior of traditional mass media by directly communicating with...
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A language framework for modeling social media account behavior
Malicious actors exploit social media to inflate stock prices, sway elections, spread misinformation, and sow discord. To these ends, they employ...