Using a Heuristic-Systematic Model to assess the Twitter user profile’s impact on disaster tweet credibility

Son, Jaebong; Lee, Jintae; Oh, Onook; Lee, Hyung Koo; Woo, Jiyoung

doi:10.1016/j.ijinfomgt.2020.102176

Cited by 43 publications

(22 citation statements)

References 54 publications

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“…Similarly, risk information models, such as CMT, also emphasized that the outcome of information activity, such as promotional campaigns, relies on people’s evaluation of the risk. However, the information processing models (e.g., HSM) clarified that individuals’ perceived risk could be influenced by how the message has been framed [ 35 ]. Therefore, drawing on these theories, we empirically compared certain advertisement message frames based on their characteristics underlined in the literature.…”

Section: Discussionmentioning

confidence: 99%

“…Based on previous literature, when information is offered with rationalized facts about new technology-driven products, viewers comprehend multifaceted technical procedures better [ 52 ]. In contrast, psychological theories (e.g., HSM) presume that when these factual details are presented with expert opinion, viewers may perceive the adoption of technology-driven products with less doubts and uncertainties [ 35 ]. Furthermore, dual information processing models imply that people are much more mindful about the usage of products with higher risks [ 63 ].…”

Section: Literature Review and Theoretical Underpinningmentioning

confidence: 99%

“…Ergo, past theories, for instance, the heuristic-systematic information processing model (hereafter HSM), also explained that this mechanism does not only depend on the content of the ad message; it also relies on the quality of the message source [ 35 ]. To exemplify this, individuals’ processing of the acquired information through an advertisement involves risk assessment based on the credibility of the sender and presentation cues (e.g., ad-frame).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Experimental Evidence on Public Acceptance of Genetically Modified Food through Advertisement Framing on Health and Environmental Benefits, Objective Knowledge, and Risk Reduction

Raza

Zaman

Ferreira

et al. 2021

IJERPH

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Owing to the emerging challenges on global food security and the decade of controversies over genetically modified food (hereafter GMF), the present study aims to explore the effects of advertisement framing on health and environmental benefits, sources of perceived risk reduction, and domain-specific knowledge on the acceptance of GMF. The study conducted a quasi-experimental factorial 2 (advertisement message framing: health vs. environmental benefits) × 2 (expert endorsement: present vs. absent) between-subject design involving 300 adult participants from Pakistan. Using a multi-group structural equation model, the four conditions were assigned to each participant group (n = 75) to test the hypothesized relationships. The quasi-experiment results suggested that the advertisement messages (ad-framed) incorporated with the health and environmental benefits, as delineated by experts, can be a viable communication strategy in developing effortless cognitive cues towards GMF acceptance. The pioneer findings validate the significant efficacy of advertisement messages (ad-framed with expert opinions) in reducing perceived risk through augmented objective knowledge that activates the mechanism of favorable development of attitude and acceptance of GMF. The study findings offer strategic directions to policymakers, marketers, and food technologists in raising greater awareness and acceptance towards GMF products.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Review and Theoretical Underpinningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Experimental Evidence on Public Acceptance of Genetically Modified Food through Advertisement Framing on Health and Environmental Benefits, Objective Knowledge, and Risk Reduction

Raza

Zaman

Ferreira

et al. 2021

IJERPH

View full text Add to dashboard Cite

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“…However, when the risk of incorrect decision is high, users will process information in a more effortful manner. Son et al (2020) found that heuristic processing prevails as it reduces cognitive workload needed to make retweet decision when time for processing information is limited. The premise of HSM is that people rarely process information in perfect conditions due to constraints of environment and cognition.…”

Section: Journal Of Data and Information Sciencementioning

confidence: 99%

A Causal Configuration Analysis of Payment Decision Drivers in Paid Q&A

Chen

Cheng

2021

Journal of Data and Information Science

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PurposeThis paper examines factors of payment decision as well as the role each factor plays in casual configurations leading to high payment intention under systematic and heuristic information processing routes.Design/methodology/approachBased on heuristic-systematic model (HSM), we propose a configurational analytic framework to investigate complex casual relationships between influencing factors and payment decision. In line with this approach, we use fuzzy-set qualitative comparative analysis (fsQCA) to analyze data crawled from Zhihu.com.FindingsThe number of previous consultations is a necessary element in all five equivalent configurations which lead to high intention in payment decision. The heuristic processing route plays a core role while the systematic processing route plays a peripheral role in payment decision-making process.Research limitationsResearch is limited in that moderating effect of professional fields has not been considered in the framework.Practical implicationsConfigurations in results can assist managers of knowledge communities and paid Q&A service providers in the management of information elements to motivate more payment decision.Originality/valueThis paper is one of the few studies to apply HSM theory and fsQCA method with respect to the payment decision in paid Q&A.

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“…In general, the common purposes of almost all social media are communication, information, advertising, and social events (Chianese and Piccialli 2016). However, they are also used in a more sophisticated way as supporting tools for analysing social and emergency events (Son et al 2020). The engagements of social media in these domains have been presented by many scholars.…”

Section: Twitter Data Analysingmentioning

confidence: 99%

A comprehensive social media data processing and analytics architecture by using big data platforms: a case study of twitter flood-risk messages

Podhoranyi

2021

Earth Sci Inform

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The main objective of the article is to propose an advanced architecture and workflow based on Apache Hadoop and Apache Spark big data platforms. The primary purpose of the presented architecture is collecting, storing, processing, and analysing intensive data from social media streams. This paper presents how the proposed architecture and data workflow can be applied to analyse Tweets with a specific flood topic. The secondary objective, trying to describe the flood alert situation by using only Tweet messages and exploring the informative potential of such data is demonstrated as well. The predictive machine learning approach based on Bayes Theorem was utilized to classify flood and no flood messages. For this study, approximately 100,000 Twitter messages were processed and analysed. Messages were related to the flooding domain and collected over a period of 5 days (14 May-18 May 2018). Spark application was developed to run data processing commands automatically and to generate the appropriate output data. Results confirmed the advantages of many well-known features of Spark and Hadoop in social media data processing. It was noted that such technologies are prepared to deal with social media data streams, but there are still challenges that one has to take into account. Based on the flood tweet analysis, it was observed that Twitter messages with some considerations are informative enough to be used to estimate general flood alert situations in particular regions. Text analysis techniques proved that Twitter messages contain valuable flood-spatial information.

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Using a Heuristic-Systematic Model to assess the Twitter user profile’s impact on disaster tweet credibility

Cited by 43 publications

References 54 publications

An Experimental Evidence on Public Acceptance of Genetically Modified Food through Advertisement Framing on Health and Environmental Benefits, Objective Knowledge, and Risk Reduction

An Experimental Evidence on Public Acceptance of Genetically Modified Food through Advertisement Framing on Health and Environmental Benefits, Objective Knowledge, and Risk Reduction

A Causal Configuration Analysis of Payment Decision Drivers in Paid Q&A

A comprehensive social media data processing and analytics architecture by using big data platforms: a case study of twitter flood-risk messages

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