Evidence map›Paper›PMID 32876574›Full record

ArticleJournal of medical Internet research2020

Changing Emotions About Fukushima Related to the Fukushima Nuclear Power Station Accident-How Rumors Determined People's Attitudes: Social Media Sentiment Analysis.

Shin Hasegawa, Teppei Suzuki, Ayako Yagahara, Reiko Kanda, Tatsuo Aono, Kazuaki Yajima, Katsuhiko Ogasawara

Abstract read
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Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shin HasegawaGraduate School of Health Sciences, Hokkaido University, Sapporo, Japan.ORCID 0000-0002-6340-3646
Teppei SuzukiHokkaido University of Education, Iwamizawa, Japan.ORCID 0000-0002-1030-2788
Ayako YagaharaFaculty of Health Sciences, Hokkaido University, Sapporo, Japan.ORCID 0000-0003-3364-7719
Reiko KandaQuantum Medical Science Directorate, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.ORCID 0000-0002-8626-014X
Tatsuo AonoQuantum Medical Science Directorate, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.ORCID 0000-0003-4236-8228
Kazuaki YajimaQuantum Medical Science Directorate, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.ORCID 0000-0002-2365-749X
Katsuhiko OgasawaraQuantum Medical Science Directorate, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.ORCID 0000-0001-5474-7861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic interest in radiation rose after the Tokyo Electric Power Company (TEPCO) Fukushima Daiichi Nuclear Power Station accident was caused by an earthquake off the Pacific coast of Tohoku on March 11, 2011. Various reports on the accident and radiation were spread by the mass media, and people displayed their emotional reactions, which were thought to be related to information about the Fukushima accident, on Twitter, Facebook, and other social networking sites. Fears about radiation were spread as well, leading to harmful rumors about Fukushima and the refusal to test children for radiation. It is believed that identifying the process by which people emotionally responded to this information, and hence became gripped by an increased aversion to Fukushima, might be useful in risk communication when similar disasters and accidents occur in the future. There are few studies surveying how people feel about radiation in Fukushima and other regions in an unbiased form.

objectiveThe purpose of this study is to identify how the feelings of local residents toward radiation changed according to Twitter.

methodsWe used approximately 19 million tweets in Japanese containing the words "radiation" (), "radioactivity" (), and "radioactive substances" () that were posted to Twitter over a 1-year period following the Fukushima nuclear accident. We used regional identifiers contained in tweets (ie, nouns, proper nouns, place names, postal codes, and telephone numbers) to categorize them according to their prefecture, and then analyzed the feelings toward those prefectures from the semantic orientation of the words contained in individual tweets (ie, positive impressions or negative impressions).

resultsTweets about radiation increased soon after the earthquake and then decreased, and feelings about radiation trended positively. We determined that, on average, tweets associating Fukushima Prefecture with radiation show more positive feelings than those about other prefectures, but have trended negatively over time. We also found that as other tweets have trended positively, only bots and retweets about Fukushima Prefecture have trended negatively.

conclusionsThe number of tweets about radiation has decreased overall, and feelings about radiation have trended positively. However, the fact that tweets about Fukushima Prefecture trended negatively, despite decreasing in percentage, suggests that negative feelings toward Fukushima Prefecture have become more extreme. We found that while the bots and retweets that were not about Fukushima Prefecture gradually trended toward positive feelings, the bots and retweets about Fukushima Prefecture trended toward negative feelings.

Indexed as

Fukushima Nuclear AccidentAttitudeEmotionsFemaleHumansJapanMaleSocial MediaSurveys and Questionnairesbelief in rumorsdisaster medicineFukushima nuclear accidentinfodemicinfodemiologyinformation disseminationinfoveillanceradiationradioactive hazard releaseradioactivityTwitter messaging

Identifiers

PMID32876574
PMCPMC7495261

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.