气候变化领域集成服务门户(CCPortal): Content driving exposure and attention to tweets during local, high-impact weather events

CCPortal

DOI	10.1007/s11069-020-04078-6
	Content driving exposure and attention to tweets during local, high-impact weather events
	Eachus J.D.; Keim B.D.
发表日期	2020
ISSN	0921030X
起始页码	2207
结束页码	2229
卷号	103 期号:2
英文摘要	The use of Twitter to disseminate weather information presents need for the analysis of what types of messages, and specifically warning messages, incur exposure and attention. Having this knowledge could increase exposure and attention to messages and perhaps increase retransmission through Twitter. Two models describe the cognitive processing of tweets and warnings. The extended parallel process model describes components of an effective warning message. Even in a tweet, ignoring one or both critical components of a warning—threat and efficacy—could inhibit a user from taking the correct protective action. The protective action decision model (PADM) describes risk perception and factors that enable or disable one from giving attention to a message. The PADM also helps to define impressions, retweets or likes as metrics of exposure or attention to a tweet. Tweets from three Twitter accounts within one television market during two high-impact weather events were examined. From an individual account, impressions, retweets and likes were collected to identify commonalities to tweets with much exposure and attention. Results indicate photographs and geographically specific messages were popular. Second, from two competing television weather accounts, warning tweet formats were compared to identify exposure and attention to each. Warning tweets providing threat and efficacy performed best. The purpose of this work is twofold. First is to identify local trends to compliment findings from studies with large sample sizes. Second is to apply existing theory on warning message content to Twitter. This approach should benefit communication strategies of key information nodes—local meteorologists—during high-impact weather events. © 2020, The Author(s).
关键词	Communication Messaging Meteorologists Twitter Warnings Weather
英文关键词	decision making; media role; natural hazard; social media; warning system
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205678
作者单位	Department of Geography and Anthropology, Louisiana State University, 13451 Country Meadow Ave., Baton Rouge, LA 70816, United States
推荐引用方式 GB/T 7714	Eachus J.D.,Keim B.D.. Content driving exposure and attention to tweets during local, high-impact weather events[J],2020,103(2).
APA	Eachus J.D.,&Keim B.D..(2020).Content driving exposure and attention to tweets during local, high-impact weather events.Natural Hazards,103(2).
MLA	Eachus J.D.,et al."Content driving exposure and attention to tweets during local, high-impact weather events".Natural Hazards 103.2(2020).