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  • Article

Pattern Detection in the Activation Space for Identifying Synthesized Content

By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam
Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may... View Details
Keywords: Subset Scanning; Generative Models; Synthetic Content Detection
Related
  • 2005
  • Other Unpublished Work

Next Generation Learning via Next Generation Content

By: D. Quinn Mills
Keywords: Information Technology; Learning
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  • 2025
  • Working Paper

Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs

By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
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  • October 2013
  • Article

Ad Revenue and Content Commercialization: Evidence from Blogs

By: Monic Sun and Feng Zhu
Many scholars argue that when incentivized by ad revenue, content providers are more likely to tailor their content to attract "eyeballs," and as a result, popular content may be excessively supplied. We empirically test this prediction by taking advantage of the... View Details
Keywords: Ad-sponsored Business Models; Media Content; Blog; Revenue Sharing; User-generated Content; Platform-based Markets; Blogs; Business Model; Digital Platforms; Commercialization; Digital Marketing
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  • September 2018
  • Article

Aggregation of Consumer Ratings: An Application to Yelp.com

By: Weijia Dai, Ginger Jin, Jungmin Lee and Michael Luca
Because consumer reviews leverage the wisdom of the crowd, the way in which they are aggregated is a central decision faced by platforms. We explore this "rating aggregation problem" and offer a structural approach to solving it, allowing for (1) reviewers to vary in... View Details
Keywords: User Generated Content; Crowdsourcing; Yelp; Social and Collaborative Networks; Information; Internet and the Web; Learning; Mathematical Methods; E-commerce
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  • December 2021
  • Article

Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly

By: Andrea Bellovary, Nathaniel Young and Amit Goldenberg
Negativity has historically dominated news content; however, little research has examined how news organizations use affect on social media, where content is generally positive. In the current project we ask a few questions: Do news organizations on Twitter use... View Details
Keywords: Negative Press; Twitter; Political Affiliation; Affect; News; Media; Internet and the Web; Emotions; Perspective; Social Media
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    The Content Trap

    Companies everywhere face two major challenges today: getting noticed and getting paid. To confront these obstacles, Bharat Anand examines a range of businesses around the world, from Chinese Internet giant Tencent to Scandinavian digital trailblazer Schibsted,... View Details

    • Research Summary

    Social media and user-generated content

    In this project, Professor Piskorski, jointly with Andreea Gorbatai, examines inherent trade-offs in provision of user-generated content, using Wikipedia as a research setting. In Wikipedia, every user has the right to add material to an article, but with no... View Details

    • May 2024
    • Supplement

    HubSpot and Motion AI (B): Generative AI Opportunities

    By: Jill Avery
    The technologies driving artificial intelligence (AI) had progressed significantly since HubSpot’s acquisition of Motion AI in 2017. Generative AI was the newest major development. Software-as-a-service (SaaS) companies such as HubSpot were analyzing how generative AI... View Details
    Keywords: Artificial Intelligence; CRM; Chatbots; Sales Management; Generative Ai; SaaS; Marketing; Sales; AI and Machine Learning; Customer Relationship Management; Applications and Software; Technological Innovation; Competitive Advantage; Technology Industry; United States
    Related
    • 2016
    • Book

    The Content Trap: A Strategist's Guide to Digital Change

    By: Bharat Anand
    Companies everywhere face two major challenges today: getting noticed and getting paid. To confront these obstacles, I examine a range of businesses around the world, from Chinese Internet giant Tencent to Scandinavian digital trailblazer Schibsted, from The New... View Details
    Keywords: Networks; Information Technology; Organizational Change and Adaptation; Business Strategy
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    • May–June 2021
    • Article

    Capturing Value in Platform Business Models that Rely on User-Generated Content

    By: Hemang Subramanian, Sabyasachi Mitra and Sam Ransbotham
    Business models increasingly depend on inputs from outside traditional organizational boundaries. For example, platforms that generate revenue from advertising, subscription, or referral fees often rely on user-generated content (UGC). But there is considerable... View Details
    Keywords: Business Model; Network Effects; Mergers and Acquisitions; Valuation; Risk and Uncertainty
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    • 24 Jul 2006
    • Research & Ideas

    How Kayak Users Built a New Industry

    settings. They cried out for a theoretical explanation. So Eric von Hippel, Christoph Hienerth, and I teamed up to see if we could construct a theory to explain the phenomena. Q: Can you describe in general the pathways View Details
    Keywords: by Sean Silverthorne; Entertainment & Recreation

      Ad Revenue and Content Commercialization: Evidence from Blogs

      Many scholars argue that when incentivized by ad revenue, content providers are more likely to tailor their content to attract "eyeballs," and as a result, popular content may be excessively supplied. We empirically test this prediction by taking advantage of the... View Details
      • 19 Oct 2021
      • News

      In the Contest for Content

      Courtesy Sherrese Clarke Soares Courtesy Sherrese Clarke Soares As the founder and CEO of HarbourView Equity Partners, Sherrese Clarke Soares (MBA 2004) is establishing herself within the high-stakes contest to own the catalogs of music that attract View Details
      Keywords: Publishing Industries (except Internet); Information
      • July 2023 (Revised July 2023)
      • Background Note

      Generative AI Value Chain

      By: Andy Wu and Matt Higgins
      Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
      Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
      Related
      • 14 Sep 2009
      • Research & Ideas

      Understanding Users of Social Networks

      Only difference: Piskorski has spent years studying users of online social networks (SN) and has developed surprising findings about the needs that they fulfill, how men and women use these services differently, and how Twitter—the newest... View Details
      Keywords: by Sean Silverthorne; Advertising; Publishing
      • July 2023
      • Article

      Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users

      By: Jonas P. Schöne, David Garcia, Brian Parkinson and Amit Goldenberg
      Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with... View Details
      Keywords: Social Media; Emotions
      Related
      • 31 Mar 2014
      • Research & Ideas

      Encouraging Niche Content in an Ad-Driven World

      As the quantity of online content continues to proliferate—from cute cat videos to policy experts blogging on the Middle East—the consumer's expectation that online content should be free becomes more... View Details
      Keywords: by Julia Hanna; Information; Publishing; Journalism & News
      • Summer 2017
      • Article

      Measuring Consumer Preferences for Video Content Provision via Cord-Cutting Behavior

      By: Jeffrey Prince and Shane Greenstein
      The television industry is undergoing a generational shift in structure; however, many demand-side determinants are still not well understood. We model how consumers choose video content provision among over-the-air (OTA), paid subscription to cable or satellite, and... View Details
      Keywords: Information Technology; Service Delivery; Consumer Behavior; Television Entertainment; Service Industry; Media and Broadcasting Industry
      Related
      • 20 Oct 2014
      • Research & Ideas

      Users Love Ello, But What’s the Business Model?

      that social media users are increasingly attracted to the idea of such a model. But funding it without advertising's help won't be easy. Two digital marketing experts, Harvard Business School professors John Deighton, the Harold M.... View Details
      Keywords: Re: John A. Deighton & Sunil Gupta; Publishing; Financial Services