Ebola and the social media

Fung, Isaac Chun-Hai; Tse, Zion Tsz Ho; Cheung, Chi-Ngai; Miu, Adriana S.; Fu, King‐Wa

doi:10.1016/s0140-6736(14)62418-1

Cited by 128 publications

(93 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Monitoring social media for discussion of an emerging problem (e.g., a particular crop disease) may provide an indicator of the spatial areas most affected by that problem, allowing experts to then target users in affected areas with information and outreach via both social media and/or more traditional practices. This process is analogous, for example, to monitoring spatiotemporal dynamics of HIV infection (Young et al, 2014;Nielsen et al, 2017) and the use of social media to spread health information to affected populations (Bull et al, 2012;Pedrana et al, 2013;Fung et al, 2014). In addition to real-time monitoring, social media data aggregated over long periods also has the potential to track shifting beliefs over time.…”

Section: Opportunitiesmentioning

confidence: 99%

Agricultural Research Using Social Media Data

Zipper

2018

Agronomy Journal

View full text Add to dashboard Cite

Th e use of social media in scientifi c research is rapidly increasing, typically focusing on discrete events of interest to many people and/or spatially mapping a variable of interest. Relatively little research has been done on the utility of social media for monitoring the spatiotemporal patterns of day-to-day life, and none within the agricultural sciences. Here, I discuss the potential applications and limitations of social media data for agricultural research. As an example, I demonstrate the ability of Twitter to map state-level corn and soy planting progress in the conterminous United States. Results compare favorably to traditional survey-based crop progress monitoring, with mean absolute diff erences of <10% for most state-crop combinations. I also highlight the additional contextual information available from social media data including factors contributing to replanting decision-making and the evolution of farmer sentiment through time. Using analogs from other disciplines, I then discuss key opportunities and challenges for agricultural research using social media. Social media is particularly wellsuited for identifying emerging agricultural issues (e.g., weather, crop pests) and guiding extension and outreach directly to aff ected areas. However, limited data and unknown representativeness of social media users relative to the overall agricultural population are challenges which must be addressed for social media-based agricultural research in the future.

show abstract

Section: Opportunitiesmentioning

confidence: 99%

Agricultural Research Using Social Media Data

Zipper

2018

Agronomy Journal

View full text Add to dashboard Cite

show abstract

“…Articles were obtained from LexisNexis using the search term "Ebola" to filter articles published between January 1, 2014, and December 31, 2014, the first year of the outbreak and the period when media coverage was most intense. 23 All types of article were considered (news, opinion and editorials) because we were interested in all the information available to someone accessing these newspapers. This search produced 223 articles from the GM and 723 articles from the Vanguard.…”

Section: Article Selectionmentioning

confidence: 99%

Comparing “insider” and “outsider” news coverage of the 2014 Ebola outbreak

Humphries

Radice

Lauzier

2017

Can J Public Health

View full text Add to dashboard Cite

OBJECTIVES: Information provided by news media during an infectious disease outbreak can affect the actions taken to safeguard public health. There has been little evaluation of how the content of news published during an outbreak varies by location of the news outlet. This study analyzes coverage of the 2014 Ebola outbreak by one news outlet operating within a country affected by the outbreak and one country not directly affected.

show abstract

“…Complementary to more traditional methods, social media trends can help to quantify changes in disease awareness, 14 and sentiments towards treatments and preventive interventions.…”

Section: Global Awarenessmentioning

confidence: 99%