Trusting Facebook in Crisis Situations: The Role of General Use and General Trust Toward Facebook

Szymczak, Hermann; Kücükbalaban, Pinar; Lemanski, Sandra; Knuth, Daniela; Schmidt, Silke

doi:10.1089/cyber.2015.0450

Cited by 12 publications

(5 citation statements)

References 26 publications

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“…Quercia and colleagues showed that smells about industry, transport, and cleaning correlated with air quality indicators using georeferenced picture tags from Flickr and Instagram, and georeferenced tweets from Twitter [ 51 ]. Facebook and other social media outlets have been used to recruit research participants in specific areas, which may allow for increased access to georeferenced data and the potential to explore implementation and evaluation of public health interventions [ 52 – 55 ].…”

Section: Introductionmentioning

confidence: 99%

Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps

et al. 2016

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Adverse neighborhood conditions play an important role beyond individual characteristics. There is increasing interest in identifying specific characteristics of the social and built environments adversely affecting health outcomes. Most research has assessed aspects of such exposures via self-reported instruments or census data. Potential threats in the local environment may be subject to short-term changes that can only be measured with more nimble technology. The advent of new technologies may offer new opportunities to obtain geospatial data about neighborhoods that may circumvent the limitations of traditional data sources. This overview describes the utility, validity and reliability of selected emerging technologies to measure neighborhood conditions for public health applications. It also describes next steps for future research and opportunities for interventions. The paper presents an overview of the literature on measurement of the built and social environment in public health (Google Street View, webcams, crowdsourcing, remote sensing, social media, unmanned aerial vehicles, and lifespace) and location-based interventions. Emerging technologies such as Google Street View, social media, drones, webcams, and crowdsourcing may serve as effective and inexpensive tools to measure the ever-changing environment. Georeferenced social media responses may help identify where to target intervention activities, but also to passively evaluate their effectiveness. Future studies should measure exposure across key time points during the life-course as part of the exposome paradigm and integrate various types of data sources to measure environmental contexts. By harnessing these technologies, public health research can not only monitor populations and the environment, but intervene using novel strategies to improve the public health.

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Section: Introductionmentioning

confidence: 99%

Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps

et al. 2016

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“…Facebook has also become a major source of news and information that goes beyond social networking. During times of crisis, such as natural disasters like floods, hurricanes, and earthquakes, Facebook was used to exchange information and provide social support for those affected [36]. Social media can be a useful way to get in contact when cellular networks may be damaged or overloaded.…”

Section: B Trust and Privacymentioning

confidence: 99%

An Exploration of Factors Influencing Oversharing on Facebook Groups

Dupuis,

Powell,

Lanphere

et al. 2024

CISSE

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Social media usage is extremely prevalent and so is the oversharing of personal information online. This paper aims to examine the factors that influence information disclosure on Facebook and how participation in groups may affect sharing behaviors. Groups can provide a more intimate and supportive environment, which may lead to excessive information sharing. An online survey was conducted on Amazon’s Mechanical Turk platform with 373 accepted responses from self-reported Facebook users. The data was analyzed to determine which demographic and personality factors are correlated with oversharing behaviors on user profiles and within Facebook groups. This work has implications for understanding how individuals seek support online and what information they feel comfortable disclosing. Oversharing may increase user feelings of social support but also may make users vulnerable to cyberbullying and social engineering attacks.

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“…S-commerce is based on the social interaction between s-commerce members, which is considered a process of social exchange. People usually share information on s-commerce community in exchange for recognition or social support they expect from their exchange partners (Szymczak et al. , 2016) and to form harmonious relationship between consumers and vendors, which will help with the sustainable development of s-commerce.…”

Section: Literature Review and Theoretical Backgroundmentioning

confidence: 99%

The impact of interpersonal interaction factors on consumers’ purchase intention in social commerce: a relationship quality perspective

Zhou

Dong

Zhang

2022

IMDS

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PurposeInterpersonal interaction can influence consumers’ purchase intention in social commerce (s-commerce). This paper aims to identify interpersonal interaction factors as well as the mediating effect of relationship quality between interpersonal interaction factors and consumers’ purchase intention in s-commerce.Design/methodology/approachThis study explores new dimensions of interpersonal interaction in s-commerce by integrating interaction between consumers and online vendors and that between consumers and online recommenders in s-commerce. An online questionnaire was used to collect the data, and partial least squares structural equation modeling (PLS-SEM) was employed for data analysis.FindingsThe results indicate that interpersonal interaction factors of both online vendors and online recommenders positively affect swift guanxi and initial trust between consumers and online vendors. Swift guanxi and initial trust positively affect consumers’ purchase intention. Initial trust partially mediates between interpersonal interaction factors and purchase intention while swift guanxi does not mediate between perceived similarity of online recommenders and purchase intention.Practical implicationsThe findings can be used to guide vendors in s-commerce platforms to make good use of platform features to improve interpersonal interaction. Meanwhile, s-commerce platforms should be enhanced with efficient interaction tools to help cultivate relationship quality between consumers and online vendors.Originality/valueThis study combines social exchange theory, trust transfer theory and relationship quality theory to investigate the factors that influence swift guanxi and initial trust between consumers and online vendors, which extends the study of interpersonal interaction and enriches the dimensions of relationship quality in the context of s-commerce.

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Trusting Facebook in Crisis Situations: The Role of General Use and General Trust Toward Facebook

Cited by 12 publications

References 26 publications

Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps

Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps

An Exploration of Factors Influencing Oversharing on Facebook Groups

The impact of interpersonal interaction factors on consumers’ purchase intention in social commerce: a relationship quality perspective

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