Analysis of Users' Behaviour and Adoption Trends of Social Media Payment Platforms

• URL: http://arxiv.org/abs/2002.05659v1
• Date: Sun, 5 Jan 2020 12:08:43 GMT
• Title: Analysis of Users' Behaviour and Adoption Trends of Social Media Payment Platforms
• Authors: Mahdi H. Miraz and Marie Haikel-Elsabeh
• Abstract summary: This article examines the current status of the social media payment platforms as well as the projection of future adoption trends. Our research underlines the motivations and obstacles to the adoption of social media platforms.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The recent proliferation of Electronic Commerce (E-commerce) has been further escalated by multifaceted emerging payment solutions such as cryptocurrencies, mobile, peer-to-peer (P2P) and social media payment platforms. While these technological advancements are gaining tremendous popularity, mostly for their ease of use, various impediments such as security and privacy concerns, societal and cultural norms etc. forbear the users' adoption trends to some extents. This article examines the current status of the social media payment platforms as well as the projection of future adoption trends. Our research underlines the motivations and obstacles to the adoption of social media platforms.

Related papers

• EVOLVE: Predicting User Evolution and Network Dynamics in Social Media Using Fine-Tuned GPT-like Model [5.5997926295092295]
  We propose a predictive method to understand how a user evolves on social media throughout their life. We fine-tune a GPT-like decoder-only model to predict the future stages of a user's evolution in online social media.
  arXiv  Detail & Related papers  (2024-07-12T21:20:57Z)
• The Illusion of Anonymity: Uncovering the Impact of User Actions on Privacy in Web3 Social Ecosystems [11.501563549824466]
  We investigate the nuanced dynamics between user engagement on Web3 social platforms and the consequent privacy concerns. We scrutinize the widespread phenomenon of fabricated activities, which encompasses the establishment of bogus accounts aimed at mimicking popularity. We highlight the urgent need for more stringent privacy measures and ethical protocols to navigate the complex web of social exchanges.
  arXiv  Detail & Related papers  (2024-05-22T06:26:15Z)
• Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest [70.02478301291264]
  Social media platforms curate access to information and opportunities, and so play a critical role in shaping public discourse. Prior studies have used black-box methods to show that these algorithms can lead to biased or discriminatory outcomes. We propose a new method for platform-supported auditing that can meet the goals of the proposed legislation.
  arXiv  Detail & Related papers  (2022-07-18T17:32:35Z)
• Yourfeed: Towards open science and interoperable systems for social media [1.8623205938004257]
  Existing social media platforms make it incredibly difficult for researchers to conduct studies on social media. To close the gap, we introduce Yourfeed, a research tool for conducting ecologically valid social media research.
  arXiv  Detail & Related papers  (2022-07-15T13:49:51Z)
• Detecting Ideal Instagram Influencer Using Social Network Analysis [0.0]
  The paper focuses on social network analysis (SNA) for a real-world online marketing strategy. The study contributes by comparing various centrality measures to identify the most central nodes in the network and uses a linear threshold model to understand the spreading behaviour of individual users.
  arXiv  Detail & Related papers  (2021-07-12T20:53:58Z)
• News consumption and social media regulations policy [70.31753171707005]
  We analyze two social media that enforced opposite moderation methods, Twitter and Gab, to assess the interplay between news consumption and content regulation. Our results show that the presence of moderation pursued by Twitter produces a significant reduction of questionable content. The lack of clear regulation on Gab results in the tendency of the user to engage with both types of content, showing a slight preference for the questionable ones which may account for a dissing/endorsement behavior.
  arXiv  Detail & Related papers  (2021-06-07T19:26:32Z)
• Detecting Harmful Content On Online Platforms: What Platforms Need Vs. Where Research Efforts Go [44.774035806004214]
  harmful content on online platforms comes in many different forms including hate speech, offensive language, bullying and harassment, misinformation, spam, violence, graphic content, sexual abuse, self harm, and many other. Online platforms seek to moderate such content to limit societal harm, to comply with legislation, and to create a more inclusive environment for their users. There is currently a dichotomy between what types of harmful content online platforms seek to curb, and what research efforts there are to automatically detect such content.
  arXiv  Detail & Related papers  (2021-02-27T08:01:10Z)
• SoMin.ai: Personality-Driven Content Generation Platform [60.49416044866648]
  We showcase the World's first personality-driven marketing content generation platform, called SoMin.ai. The platform combines deep multi-view personality profiling framework and style generative adversarial networks. It can be used for the enhancement of the social networking user experience as well as for content marketing routines.
  arXiv  Detail & Related papers  (2020-11-30T08:33:39Z)
• Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian [15.756811089823575]
  Social e-commerce, as a new form of social computing based marketing platforms, utilizes existing real-world social for promotions and sales of products. Key group of actors who enable market transactions on these platforms are intermediaries who connect producers with consumers. Despite their crucial role, the nature and behavior of these intermediaries on these social e-commerce platforms has not been systematically analyzed.
  arXiv  Detail & Related papers  (2020-10-16T20:07:35Z)
• Echo Chambers on Social Media: A comparative analysis [64.2256216637683]
  We introduce an operational definition of echo chambers and perform a massive comparative analysis on 1B pieces of contents produced by 1M users on four social media platforms. We infer the leaning of users about controversial topics and reconstruct their interaction networks by analyzing different features. We find support for the hypothesis that platforms implementing news feed algorithms like Facebook may elicit the emergence of echo-chambers.
  arXiv  Detail & Related papers  (2020-04-20T20:00:27Z)
• An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms [76.9570531352697]
  We propose an iterative methodology which aims to identify complaint based posts pertaining to the transport domain. We perform comprehensive evaluations along with releasing a novel dataset for the research purposes.
  arXiv  Detail & Related papers  (2020-01-24T22:23:22Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.