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Automated content analysis across six languages. [PDF]
PLoS ONE, 2019 Corpus selection bias in international relations research presents an epistemological problem: How do we know what we know? Most social science research in the field of text analytics relies on English language corpora, biasing our ability to understand ...
Leah Cathryn Windsor +2 more
doaj +5 more sources
Ecology and Society, 2021 Manual content analysis provides a systematic and reliable method to analyze patterns within a narrative text, but for larger datasets, where human coding is not feasible, automated content analysis methods present enticing and time-efficient solutions ...
Aviv Suan +2 more
doaj +1 more source
Exploring Engagement With EU News on Facebook: The Influence of Content Characteristics
Politics and Governance, 2022 The EU is diagnosed with a participation deficit, rooted in a lack of public communication. While news media are the primary source of information about EU politics, social media have become an important channel for political information.
Tobias Heidenreich +3 more
doaj +1 more source
The Interaction between Internet, Sustainable Development, and Emergence of Society 5.0
Data, 2020 (1) Background: The importance of this article is to analyze the technological developments in the field of the Internet and Internet technologies and to determine their significance for sustainable development, which will result in the emergence of ...
Vasja Roblek +4 more
doaj +1 more source
pyResearchInsights—An open‐source Python package for scientific text analysis
Ecology and Evolution, 2021 With an increasing number of scientific articles published each year, there is a need to synthesize and obtain insights across ever‐growing volumes of literature. Here, we present pyResearchInsights, a novel open‐source automated content analysis package
Sarthak J. Shetty, Vijay Ramesh
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Toward high-content/high-throughput imaging and analysis of embryonic morphogenesis [PDF]
, 2011 In vivo study of embryonic morphogenesis tremendously benefits from recent advances in live microscopy and computational analyses. Quantitative and automated investigation of morphogenetic processes opens the field to high-content and high-throughput ...
Supatto, Willy, Truong, Thai V.
core +4 more sources
Online Media and Global Communication, 2023 Possibilities of applying automated content analysis in journalism studies include, for example, machine learning to identify topics in journalistic coverage or measuring news diffusion via automated approaches.
Hase Valerie +2 more
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Covering the Crisis: Evolution of Key Topics and Actors in COVID-19 News Coverage in Switzerland
International Journal of Public Health, 2023 Objectives: The goal of this study is to map the share of COVID-related news articles over time, to investigate key subtopics and their evolution throughout the pandemic, and to identify key actors and their relationship with different aspects of the ...
Alexander Ort +6 more
doaj +1 more source
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction [PDF]
, 2015 Visual media are powerful means of expressing emotions and sentiments. The constant generation of new content in social networks highlights the need of automated visual sentiment analysis tools. While Convolutional Neural Networks (CNNs) have established
Jiang Y.-G. +6 more
core +2 more sources
International Journal of Communication, 2022 Prejudices against minorities are amplified by distorted media coverage that highlights these groups disproportionally in crime coverage. But while the specifications of alleged criminals’ affiliations to minority groups—so-called minority signification—
Azade Esther Kakavand, Damian Trilling
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