Social media self-branding and success: Quantitative evidence from a model competition

Authors: Fabian Braesemann, Fabian Stephany

License: CC BY 4.0

Results of the summarizing process for the arXiv paper: 2007.04113v1

  • Comprehensive Summary
  • Key points
  • Layman's Summary
  • Blog article
The study presented in this research paper explores the impact of social media activity on the chances of models being elected for Playboy Magazine's Playmate of the Year award. The researchers hypothesize that candidates who actively manage their Instagram accounts can increase their likelihood of winning the award by using social media to gain more followers, who may then vote for them in the award polls. The findings indicate that social media activity has predictive capacity to estimate the outcome of the award. In fact, candidates who manage their social media accounts more actively than others have a higher probability of becoming Playmate of the Year. To further support their findings, the researchers conducted cross-validated out-of-sample rank predictions for successful candidates. They trained their model with data from seven competitions and predicted the outcome of the remaining contest. In seven out of eight cases, the model ranked the eventual successful candidate among the top-three (in six cases among the top-two) and correctly predicted three competition outcomes. These results demonstrate that the model surpasses a baseline distribution of a simple random draw, indicating that social media data indeed has predictive power to forecast contest outcomes.
AI-generated keywords: Social media Playmate of the Year predictive power Stella Tiana Stegmann Marie Rauscher

AI-generated Key Points

  • Study explores impact of social media activity on chances of models being elected for Playboy Magazine's Playmate of the Year award
  • Researchers hypothesize that active management of Instagram accounts can increase likelihood of winning award
  • Findings indicate that social media activity can predict outcome of the award
  • Candidates who manage their social media accounts more actively have higher probability of becoming Playmate of the Year
  • Researchers conducted cross-validated out-of-sample rank predictions for successful candidates
  • Model ranked eventual successful candidate among top-three in seven out of eight cases, and correctly predicted three competition outcomes
  • Results demonstrate that model surpasses baseline distribution and indicates predictive power of social media data for forecasting contest outcomes
Also access our AI generated: Comprehensive summary, Lay summary, Blog-like article; or ask questions about this paper to our AI assistant.

Abstract: Thanks to the availability of large online data sets, it has become possible to quantify success in different fields of human endeavour. The study presented here contributes to this literature in evaluating the effect of social media activity, as a means of 'self-branding', to increase the chances of models being elected for the Playboy Magazine's Playmate of the Year award. We hypothesise that candidates who actively manage their Instagram accounts can increase their likelihood to win the award: they use social media to gain more followers, who then might vote for them in the award polls. The findings indicate that social media activity actually has predictive capacity to estimate the outcome of the award. We find evidence that candidates who manage their social media accounts more actively than other candidates have a higher probability to become Playmate of the Year. The findings underline the benefits of social media

Submitted to arXiv on 08 Jul. 2020

Tools for this paper

Explain it differently 3 free rewrites left today
Export BibTeX · RIS (Zotero, Mendeley, EndNote) · Markdown (Notion, Obsidian) · Premium
Citation alerts Premium
Journal club Slides to present it Premium
For journalists Press kit and hype check Premium

Ask questions about this paper to our AI assistant

You can also chat with multiple papers at once here.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Assess the quality of the AI-generated content by voting

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

Similar papers summarized with our AI tools

Navigate through even more similar papers through a

tree representation

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.