Publications
Publications
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- All HBS Web
(1,242)
- Faculty Publications (123)
- 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
- 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
- 2023
- Working Paper
Keep Your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections
By: Rafael Di Tella, Randy Kotti, Caroline Le Pennec and Vincent Pons
A key tenet of representative democracy is that politicians' discourse and policies should follow voters' preferences. In the median voter theorem, this outcome emerges as candidates strategically adjust their platform to get closer to their opponent. Despite its... View Details
- June 2023 (Revised July 2023)
- Case
Social Media Background Screening at Fama Technologies
By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
- June 2023
- Supplement
Social Media Background Screening at Fama Technologies (B)
By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
- April 19, 2023
- Editorial
Extreme Views Are More Attractive Than Moderate Ones
By: Amit Goldenberg
Do you ever feel like everyone on social media has a more extreme viewpoint than your own? We often blame social media companies for the cacophony of politically extreme opinions around us. After all, these companies are generally motivated to promote the most... View Details
- April 2023
- Case
Twitter: The Freedom to Speak Freely and Be Heard
By: Randolph B. Cohen, Carin-Isabel Knoop and Mel Martin
In April 2022, serial entrepreneur Elon Musk announced that he would be interested in purchasing the social media site Twitter for $44 billion. With more than 100 million twitter followers, Musk had historically leveraged the site to engage with the customers of his... View Details
- March 2023
- Case
Between Two Minds: The Staglin Family
By: Lauren Cohen, Ronnie Stangler and Grace Headinger
Garen Staglin, Founder and Chairman of One Mind, reflected on his life’s work in brain health. As he contemplated stepping down in the next few years, he weighed how to pass along this legacy to his son, Brandon Staglin, the impetus behind and next generation of the... View Details
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
- February 2023
- Case
Roblox: Virtual Commerce in the Metaverse
By: Ayelet Israeli and Nicole Tempest Keller
In 2022, Roblox had 58.8 million daily active users, including over half of all children and teens under the age of 16 in the United States. Roblox, a free-to-use “co-experience platform”, allowed users to come together in immersive 3D experiences to socialize, work,... View Details
Keywords: Entertainment; Games, Gaming, and Gambling; Market Design; Marketing; Brands and Branding; Marketing Channels; Marketing Strategy; Business Strategy; Economics; Economy; Economic Systems; Advertising; Advertising Campaigns; Digital Platforms; Markets; Price; Innovation and Management; Entertainment and Recreation Industry; Video Game Industry; Technology Industry; United States; California; North America; South America; Asia; Europe
- February 2023 (Revised March 2023)
- Case
Hey, Insta & YouTube, Are You Watching TikTok?
In early 2023, the entertainment app TikTok reached close to 1 billion users globally, placing it 4th behind the leading social networks of Facebook, YouTube, and Instagram. Featuring a sophisticated recommendation engine, TikTok mastered the art of keeping users... View Details
- January 2023
- Teaching Note
Duolingo: Teaching Languages to the Masses
By: Youngme Moon
Teaching Note for HBS Case 323-016. At the time the case is written, Duolingo is the most popular language learning service in the world. The company has more than 40 million monthly active users, and the company’s total annual revenue has reached $250 million a year.... View Details
- January 2023 (Revised November 2024)
- Case
ELCA's Series A
Vu Phong and Xavier Silva co-founded ELCA to build proprietary software for their technology-enabled language learning tool. Since winning a prestigious venture contest in 2021, their number of registered users grew rapidly, as did the demand for new features like... View Details
- 2022
- Article
OpenXAI: Towards a Transparent Evaluation of Model Explanations
By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
- Article
Why Build in Web3
By: Jad Esber and Scott Duke Kominers
A major change is coming to the internet. While today’s dominant platforms have guarded their troves of user data and maintained an advantage through network effects, new companies—working in what they're calling a “Web3” model—are proposing a new value proposition to... View Details
- May 2022 (Revised July 2022)
- Case
The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022
By: David B. Yoffie and Daniel Fisher
In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest... View Details
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
- 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
- 2022
- Working Paper
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
- 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