Capturing the visual language of social media

Pandey, Megha; Sang, Alex Chia Yong

doi:10.1109/icme.2015.7177469

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…However, various studies have broadly considered only two components of visual content images and videos like photographs, graphics, images or videos [15], [96], [98], [117].…”

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confidence: 99%

“…The corporate SNS pages have been successful in engaging consumers with their visual contents. Pandey and Sang [96] have noticed in their study that with the increase in the use of mobile cameras, the visual contents has become a prevalent form of online communication on various SNSs. Another study by Manic [85] describes that when visual contents especially images and videos are implemented on the timelines of Facebook, an increase of 14% in fan engagement, 46% in content engagement and 65% in interactive content engagement was observed.…”

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confidence: 99%

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Visual Communication and Consumer-Brand Relationship on Social Networking Sites - Uses & Gratifications Theory Perspective

Kujur

Singh

2020

J. theor. appl. electron. commer. res.

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In the present time of web-based social networking, visual communication assume a key job in business and public communication. Social networking with its astute features has the ability to pull in numerous to interface with others. Visual communication plays key role in engagement behavior on social media further adding to sales. The high quality visual improves visibility in Social Networking Sites and are being selected as organization's key activity. Thus, the present study proposes a theoretical model of how visual communications through consumer engagement on corporate Social Networking Sites pages influences the consumer-brand relationship. Structural Equation Modelling has been used and validated the effect of visuals with informative, entertaining and remunerative content on consumer engagement further leading to consumer-brand relationship. Uses and Gratifications Theory has been adopted to study the behavioral response of the customers in relation to consumer engagement in social media context. This is a pioneering work to measure the mediation effect of consumer engagement to check the dominance of mediation (consumer engagement) over direct relationship between independent (visual contents) and dependent variable (consumer-brand relationship) on Facebook. In future similar study may be conducted in other social media platforms.

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“…However, various studies have broadly considered only two components of visual content images and videos like photographs, graphics, images or videos [15], [96], [98], [117].…”

mentioning

confidence: 99%

mentioning

confidence: 99%

Visual Communication and Consumer-Brand Relationship on Social Networking Sites - Uses & Gratifications Theory Perspective

Kujur

Singh

2020

J. theor. appl. electron. commer. res.

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“…substance usage [10], mining user interests [14,15], and understanding user visiting behaviors [16] or personalities [7]. Although those studies usually assume all accounts retrieved from social media platforms are individuals, McCorriston et al estimated that 9.4% of accounts on Twitter are non-individual ones (e.g., brands or organizations) [11] .…”

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confidence: 99%

A Simple Language Independent Approach for Distinguishing Individuals on Social Media

Piao

2021

Proceedings of the 32st ACM Conference on Hypertext and Social Media

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Nowadays, the large-scale human activity traces on social media platforms such as Twitter provide new opportunities for various research areas such as mining user interests, understanding user behaviors, or conducting social science studies in a large scale. However, social media platforms contain not only individual accounts but also other accounts that are associated with non-individuals such as organizations or brands. Therefore, distinguishing individuals out of all accounts is crucial when we conduct research such as understanding human behavior based on data retrieved from those platforms. In this paper, we propose a language-independent approach for distinguishing individuals from non-individuals with the focus on leveraging their profile images, which has not been explored in previous studies. Extensive experiments on two datasets show that our proposed approach can provide competitive performance with state-of-the-art language-dependent methods, and outperforms alternative language-independent ones. CCS CONCEPTS• Human-centered computing → Social media; Social networking sites; • Computing methodologies → Supervised learning by classification.

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Image-Centric Social Discovery Using Neural Network under Anonymity Constraint

Ahmed

Hasan

Mohammed

2017

2017 IEEE International Conference on Cloud Engineering (IC2E)

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Capturing the visual language of social media

Cited by 3 publications

References 26 publications

Visual Communication and Consumer-Brand Relationship on Social Networking Sites - Uses & Gratifications Theory Perspective

Visual Communication and Consumer-Brand Relationship on Social Networking Sites - Uses & Gratifications Theory Perspective

A Simple Language Independent Approach for Distinguishing Individuals on Social Media

Image-Centric Social Discovery Using Neural Network under Anonymity Constraint

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Capturing the visual language of social media

Cited by 3 publications

References 26 publications

Visual Communication and Consumer-Brand Relationship on Social Networking Sites - Uses &amp; Gratifications Theory Perspective

Visual Communication and Consumer-Brand Relationship on Social Networking Sites - Uses &amp; Gratifications Theory Perspective

A Simple Language Independent Approach for Distinguishing Individuals on Social Media

Image-Centric Social Discovery Using Neural Network under Anonymity Constraint

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Product

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Visual Communication and Consumer-Brand Relationship on Social Networking Sites - Uses & Gratifications Theory Perspective

Visual Communication and Consumer-Brand Relationship on Social Networking Sites - Uses & Gratifications Theory Perspective