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Journal of Computational Social Dynamics

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Published

2021-08-10

Issue

Vol. 6 No. 3 (2021): Journal of Computational Social Dynamics-3rd-Q

Section

Articles

How to Cite

Hassan, A., & Shahid, Y. (2021). Cultural Shifts in the Era of Data: Analyzing the Impact of Big Data on Art, Entertainment, and Social Trends. Journal of Computational Social Dynamics, 6(3), 19–33. Retrieved from https://vectoral.org/index.php/JCSD/article/view/33

Cultural Shifts in the Era of Data: Analyzing the Impact of Big Data on Art, Entertainment, and Social Trends

Ahmed Hassan

Suez Canal University, Egypt

Yumna Shahid

Government College University Faisalabad

Keywords: Big Data, Culture, Art, Entertainment, Social Trends, Data-driven Art, Data Analytics, Recommendation Systems, Cultural Transformation, Ethical Considerations

Abstract

The era of Big Data has ushered in a profound transformation in the domains of art, entertainment, and social trends, redefining the cultural landscape. This research examines the intricate interplay between data and culture, analyzing the multifaceted impacts of Big Data across these three dominions. The key findings of this study illuminate the pervasive influence of Big Data on contemporary art. Artists and art forms have embraced data as a source of inspiration, forging a new frontier in the creative landscape. Data-driven art has given rise to innovative themes, styles, and techniques, challenging conventional boundaries between art and technology. The entertainment industry, too, is undergoing a data-driven revolution. Content creation, distribution, and personalization have been reshaped by data analytics and recommendation systems, resulting in enhanced audience engagement and content relevance. In the sphere of social trends, Big Data has become an indispensable tool for understanding and influencing societal dynamics. Social media platforms, with the aid of data analytics, can now predict and shape trends in politics, consumer behavior, and social movements. The cross-sector analysis underscores the commonalities that bind these domains, revealing data-driven personalization, the ascendancy of user-generated content, and the central role of recommendation systems as shared trends that transcend art, entertainment, and social trends. This study makes significant theoretical and practical contributions, providing a comprehensive exploration of the impact of Big Data on culture. Its findings offer valuable insights for artists, content creators, policymakers, and social scientists, enabling them to navigate and harness the transformative power of data in culture.

Author Biography

Yumna Shahid, Government College University Faisalabad

 

 

 

Current Issue

Information

Submission Guidelines for the Journal of Computational Social Dynamics General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the APA/IEEE styles.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal at.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

Publication Fees:

The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the Journal of Computational Social Dynamics as a venue for your research.

Published by Vectoral Publishing, the Journal of Computational Social Dynamics maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/jcsd. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.