Submission Information

  • Students must submit their work to the instructor’s office in Old Main by the end of the day.

Aims of the Session

  • Concluding remarks on recent trends in the media industry.

  • Analysis of how social media and AI are affecting media industries.

  • Outline the expectations for the upcoming final exam scheduled for Monday at 9 AM.

Social Media Trends

Definitions

  • Social Media: Platforms facilitating networking or user-generated content, often a hybrid of both.

  • User-Generated Content (UGC): Media content created by users of a platform rather than by professional developers or organizations.

Historical Context

  • Early social media was distinct:

    • Social Networking: e.g., Facebook was primarily for networking.

    • Content Creation: e.g., YouTube focused on user-generated content.

  • Increasing integration of these functions has transformed media landscape.

Impact on Media Industries

  • Old Model: Relied on large institutions creating media for mass consumption.

  • New Model (UGC):

    • Productions from smaller, individual content creators.

    • Reduced reliance on corporate profit-driven motives.

    • Creation of niche markets, leading to greater diversity in available content.

Timeline of Growth

  • Overview of the proliferation of social media platforms from 2000 to present, highlighting major players (YouTube, Instagram, TikTok for content; Snapchat, Facebook, Twitter for networking).

  • Important shift toward publicly available content creation rather than institutional productions.

Characteristics of User-Generated Content

  1. New Information or Creative Effort: UGC must present original or derivative ideas rather than simply reproducing existing media (e.g., rip music directly).

  2. Personal Nature: Often reflects personal interests rather than being job-related. While lines are beginning to blur, personal expression remains a key trait.

  3. Public Accessibility: Majority of UGC does not require subscriptions/paywalls, relying instead on advertisement-based monetization.

Market Dynamics

  • The transition from centralized to distributed models:

    • Traditional industries relied heavily on institutions for marketing and distribution.

    • Online content creators now leverage audience networks for spread and feedback.

  • This new model reduces the power of institutions to dictate trends and control access, creating a more democratic space for content consumption.

Fragmentation of Audience Tastes

  • Rise of niche content leads to fragmentation of audience so that fewer shared cultural touchstones exist.

  • Cable television comparably increased channel diversity but social media has taken this further, allowing for a vast array of individualized content.

Transformative Media Content

  • UGC is often premixed culture where existing materials are transformed creatively (e.g., parodies, remixes).

  • Legal parameters (e.g., US Supreme Court rulings) of what constitutes transformative as opposed to simple copying.

Trends in Content Consumption

  • Online media cycles are short and fast-paced; trends rise and fade quickly, saturating the market.

  • Content metrics and social media statistics play a significant role in marketing traditional media.

  • Users now have significant power in dictating what becomes popular or remains obscure.

Case Studies

Example: "Letterkenny"

  • Initially a Twitter account that gained popularity for its relatability and humor, leading to a successful YouTube series and eventually a full-fledged TV series on platforms like Hulu and Crave.

Influence of International Media

  • Psy's "Gangnam Style": Example of a non-English song exploding in popularity due to its catchy nature and social media sharing, becoming a global phenomenon.

  • "Despacito": Represented cross-cultural success and how social media aids in the distribution of diverse media types; viral remixes and parodies contributed to its fame.

Implications of AI in Media

Generative AI Overview

  • AI can autonomously create content through data models by learning patterns without human input.

  • Two major models of AI:

    1. Transformer Models (e.g., ChatGPT): Handles sequential data primarily for text-based applications.

    2. Diffusion Models: Used for generating images; processes involve turning images into noise and transforming back into structured output.

Ethical Concerns

  • Copyright and originality in AI-generated content are contentious issues. There are fears regarding labor replacement and the quality of AI output compared to human-created content.

  • Highlight of instances where AI exhibited biases, such as resume selection systems favoring certain demographics over others.

Final Exam Format and Expectations

  • Exam will cover only material from the second half of the course but will require knowledge of foundational concepts from the first half.

  • Short Answer Section: Answers should demonstrate understanding of key concepts, definitions, and examples.

  • Long Answer Section: Expect comparative questions that require connections between different media industries.

  • Materials Allowed: One sheet of notes (8.5" x 11", front side only).

Study Recommendations

  • Pay attention to keywords emphasized in class and in readings (bold or highlighted).

  • Focus primarily on material presented in class and understand foundational concepts applicable across media industries.

Closing Remarks

  • Evaluate course feedback forms to guide future classes and improve student experiences.