In this post, I’m discussing the use of AI — specifically LLMs or large language models, also known as generative AI, of which Open AI’s GPT models (including ChatGPT) are prominent examples. I will first present a case for why detection and prevention of such models in education is not feasible or even possible. Then, […]
Problem of averages applies to social media community guidelines
(This post is based on a discussion with a couple of other online hate researchers.) given a general policy (community guidelines), it is possible to create specific explanations that cover most cases of violating the policy (example of explanation: “your message was flagged as containing islamophobic content”). This is based on the idea that ultimately […]
Sales attribution in cross-channel retargeting
Digital marketing thought of the day (with Tommi Salenius): There are two channel types for online ads: “first-channel”, meaning the channel that gets a customer’s attention first. And “second-channel”, where we run retargeting ads to activate the non-converted audience from the first-channel. There are also two types of consumers: “buy now”, meaning those that buy […]
“It eliminates all the fun.” Automation taking over marketing?
Jon Loomer, a well-respected digital marketer, was interviewed by Andy Gray in Andy’s podcast. They discussed automation and the impacts it has on the future of digital marketing. Andy asked what happens when everything becomes standardized by the platform? That is, when the platform sets the click price, chooses the targeting, and even writes the […]
Non-linear growth of value in platform business
The value of aggregation in ad business (and probably in most other verticals, too) is that 1 impression would have zero value, i.e., no advertiser wants to pay. 10 impressions also have zero value, so do 100 impressions. But when we get to hundreds of thousands to millions, all of a sudden the value spikes […]
About academic competition and network effects
It’s extremely hard for a small research team to compete against huge labs. It’s a question of network effects; the huge labs have the critical mass of funding, collaborators, momentum, and publication pull to attract the best talent, whether the brightest PhD students or the best post-docs. The rest are left with the “scraps”. Seems […]
A New Blog on Customer Segmentation
Hi! Our team has started a new blog about customer segmentation. The blog reports our research progress on new customer segmentation algorithms and summarizes a lot of the previous work on customer segmentation. You can access the blog at: https://quecst.qcri.org/blog/
Fake reviews dataset and generation
We published a paper and resources, including a dataset, related to generation of fake online product reviews. Link to the fake reviews paper. Link to the fake reviews dataset. Link to the fake reviews code.
Research on Persona Analytics
This year (2021), we have managed to publish two research papers that I consider important milestones in persona analytics research. They are listed below. Jung, S., Salminen, J., & Jansen, B. J. (2021). Persona Analytics: Implementing Mouse-tracking for an Interactive Persona System. Extended Abstracts of ACM Human Factors in Computing Systems – CHI EA ’21. […]
Data-Driven Personas: The Book
Together with co-authors Jim Jansen, Soon-gyo Jung, and Kathleen Guan, we’ve written a book on data-driven personas. Read more about the book, aptly named Data-Driven Personas.