Articles tagged with Content Analysis
Compass combines Dimensions citation data and Altmetric attention metrics in a single platform, providing real-time publication intelligence. This solution addresses the fragmented data challenge faced by medical affairs teams, enabling them to make informed strategic decisions and communicate impact more effectively.
Exposure to alcohol-related social media content is associated with increased desire to drink among young adults, regardless of prior alcohol use. Social media influencers may contribute to normalization of alcohol consumption among this age group.
The Digital Science relaunches its Scientometric Researcher Access to Data (SRAD) program, offering non-commercial scientometric studies free access to Altmetric and Dimensions data. The expanded program also provides access to Dimensions on BigQuery, enabling researchers to answer complex questions with big data.
A recent study by Concordia researchers found that solutions journalism in Canadian alternative media outlets is often constrained by institutional lack of support and daily pressures. Despite its benefits, the practice requires strong nurturing environments to flourish.
A study found that thumbnails on a popular video-sharing platform used by children contained attention-capturing designs with violent and stereotyped themes. The researchers aim to understand how children respond to such thumbnail designs and their impact on the quality of consumed content.
This study uses machine learning to analyze plant science research topics and reveal shifts in model systems and country-specific research focus. The analysis provides insights into the evolution of plant science research in different countries.
A study analyzed emoji and emoticon use in secure clinical texting systems, finding they primarily convey new and interactionally significant information. The results suggest that emoji use may not undermine professionalism as much as initially thought.
Researchers have developed a new restoration method that utilizes color space-based segmentation to clean up ancient manuscripts. This technique allows for the analysis of previously inaccessible or damaged texts, providing insights into history and culture.
A new study explores how language shapes attention and engagement, finding that easier-to-process language and emotional triggers like anxiety, excitement, and hope encourage readers to persist. Language, meanwhile, can discourage readers from continuing to read.
A study from the University of Illinois Chicago explores key themes and topics from COVID-19 vaccine-related tweets, identifying changes in public attitudes towards vaccination and concerns about effectiveness. The research provides insights for policymakers to frame policies and programs to accelerate vaccine uptake.
A study reviewing 315 articles on Washington Post coverage of autism found a shift from a focus on 'cause and cure' towards acceptance and accommodation, reflecting changing public attitudes and the autistic rights movement.
Researchers found a significant rise in discriminatory language against female athletes in the media, with 96 instances of microaggressions reported during the 2016 Olympics. The study highlights the need for education to reduce microaggressions and promote inclusivity in sports media coverage.
A study by Lehigh University researcher Jayeon Lee found that major news organizations emphasize risks and challenges associated with employee social media use, often at the expense of opportunities and advantages. The analysis of guidelines from nine US and three British outlets reveals a predominance of prevention-focused approaches.
A content analysis of nearly 500 anti-vaccination websites found that over two-thirds used misinformation and pseudoscience to claim vaccines are dangerous. The sites also promoted positive behaviors like eating healthy and breastfeeding, often using these tactics to sway vaccine-hesitant parents.
A new study by Hana E. Brown finds that the language used in immigration debates can have long-term effects on policy outcomes, including welfare reform battles. The study shows how different linguistic approaches can create coalitions and shape policy decisions.
A new study uses computer-aided content analysis to reveal language differences between stakeholders in environmental conflicts, such as the hedgehog culling debate. The tool has great potential to reduce conflicts and promote dialogue among stakeholder groups.