Hot topic prediction considering influence and expertise in social media

Bok, Kyoungsoo; Noh, Yeonwoo; Lim, Jongtae; Yoo, Jaesoo

doi:10.1007/s10660-018-09327-2

Cited by 14 publications

(4 citation statements)

References 31 publications

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“…Social media users interact with each other through replies, views, follows, likes, subscriptions, and other platform functionality methods. These interactions are useful for identifying how children's health topics are discussed and how perceptions, risk awareness, and (mis)information about children's health propagate through social media [22]. Large social media platforms such as X are also popular venues for confrontation, where authors with opposing views argue in "digital town halls".…”

Section: Follow Conversations and Social Media Interactionsmentioning

confidence: 99%

Identifying children’s environmental health risks, needs, misconceptions, and opportunities for research translation using social media

Larkin,

MacDonald,

Jackson

et al. 2024

Explor Digit Health Technol

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As part of the Advancing Science, Practice, Programming, and Policy in Research Translation for Children’s Environmental Health (ASP3IRE) center, machine learning, geographic information systems (GIS), and natural language processing to analyze more than 650 million posts related to children’s environmental health are being used. Using preliminary analyses as examples, this commentary discusses the potential opportunities, benefits, challenges, and limitations of children’s health social media analytics. Social media contains large volumes of contextually rich data that describe children’s health risks and needs, characteristics of homes and childcare locations important to environmental exposures, and parent and childcare provider perceptions, awareness of, and misconceptions about children’s environmental health. Twenty five million unique conversations mentioning children, with likes, views, and replies from more than 33 million X (formerly Twitter) users were identified. Many of these posts can be linked to traditional environmental and health data. However, social media analytics have several challenges and limitations. Challenges include a need for interdisciplinary collaborations, selectivity and sensitivity of analytical methods, the dynamic, evolving communication methods and platform preferences of social media users, and operational policies. Limitations include data availability, generalizability, and self-report bias. Social media analytics has significant potential to contribute to children’s environmental health research and translation.

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Section: Follow Conversations and Social Media Interactionsmentioning

confidence: 99%

Identifying children’s environmental health risks, needs, misconceptions, and opportunities for research translation using social media

Larkin,

MacDonald,

Jackson

et al. 2024

Explor Digit Health Technol

View full text Add to dashboard Cite

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“…Recent issues in each research theme, referred to as hot topics, were identified following the methodology proposed by Bok et al [29]. The identification of these hot topics was based on the occurrence of author keywords found across all articles within each theme cluster.…”

Section: Research Hot Topicsmentioning

confidence: 99%

Mapping of Household Photovoltaic Research in Indonesia: A literature review using bibliometric analysis

Damayanti,

Dinaseviani

2024

IOP Conf. Ser.: Earth Environ. Sci.

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This research aims to undertake a bibliometric study on household photovoltaics within the Indonesian context. The objectives include mapping the global trends in publications related to household photovoltaics, mapping the trends within the Indonesian context, analyzing the performance of authors, affiliations, sources, and papers, identifying research hot topics, and determining research themes. This study utilized 122 Scopus-indexed articles. The findings reveal an increasing trend in the number of publications on household photovoltaics both globally and within the Indonesian context. In the Indonesian context, Tarigan, E stands out as the most relevant author, the University of Indonesia emerges as the most relevant affiliation, IOP Conference Series: Earth and Environmental Science leads as the most relevant source, Renewable Energy takes the lead as the most influential source, and article title ’Energy and Economic Losses Caused by Dust on Residential Photovoltaic (PV) Systems Deployed in Different Climate Areas,’ stands out as the most influential. This study identified five themes as hot topics (Photovoltaic Quality and Performance, Economic Analysis of Photovoltaic Systems, Net Metering and Inverter of Rooftop Photovoltaic in Indonesia, Monitoring System of Residential Solar Panels, and Technical and Economics of Solar Power Plants) and four research themes (The Adoption of Household Rooftop Photovoltaics and Influencing Factors, Design and Planning for Rooftop Solar Panel Deployment, Rooftop Photovoltaics Adoption and Renewable Energy Targets, and Economic Analysis of Rooftop Photovoltaic).

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“…Topic modeling has also been established as a method for slicing a database such as this. Core methods like TF-IDF analysis have been validated not only for looking back on data, but also for real time "hot topic" detection (Bok, et al, 2021). In more focused contexts, like parsing emotionally loaded topics, text methods including emotion detection can effectively sort texts (Visentin, et al, 2021).…”

Section: Iteration Five: Topicsmentioning

confidence: 99%

Are we seeing what they want us to see? Toward a synthetic aperture for social media methods

Faltesek

2023

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Computational methods have offered new vantage points for understanding how meaning circulates during events and crises. These methods are not neutral and have conceptual challenges that must be addressed. This study makes five iterative passes through a data set of tweets during the Texas Blackout Crisis of 2021 showing that each method, applied in a reasonably professional way, would produce a different understanding of the crisis with different key actors, narratives, and dramatic entailments. The study concludes that a synthetic aperture model where multiple methods are applied to the same data offers practitioners and researchers better information, and at the very least that scanning methods must be justified to avoid manipulation.

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Hot topic prediction considering influence and expertise in social media

Cited by 14 publications

References 31 publications

Identifying children’s environmental health risks, needs, misconceptions, and opportunities for research translation using social media

Identifying children’s environmental health risks, needs, misconceptions, and opportunities for research translation using social media

Mapping of Household Photovoltaic Research in Indonesia: A literature review using bibliometric analysis

Are we seeing what they want us to see? Toward a synthetic aperture for social media methods

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