# Properties of Reddit News Topical Interactions

arXiv: https://arxiv.org/abs/2209.07816 · HTML: https://mlsanity.com/paper/2209.07816/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 22 references that are in the map.
- First posted on arXiv 16 Sep 2022.

## Builds on (most cited first, 4 of 4)

- [The Pushshift Reddit Dataset](https://mlsanity.com/paper/2001.08435/) (2020)
- [Interactions in information spread: quantification and interpretation using stochastic block models](https://mlsanity.com/paper/2004.04552/) (2020)
- [Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior](https://mlsanity.com/paper/2109.07170/) (2021)
- [Information Interaction Profile of Choice Adoption](https://mlsanity.com/paper/2104.13695/) (2021)

## Built on by (most cited first, 1 of 1)

- [Multivariate Powered Dirichlet Hawkes Process](https://mlsanity.com/paper/2212.05995/) (2022)

## Abstract (arXiv)

Most models of information diffusion online rely on the assumption that pieces of information spread independently from each other. However, several works pointed out the necessity of investigating the role of interactions in real-world processes, and highlighted possible difficulties in doing so: interactions are sparse and brief. As an answer, recent advances developed models to account for interactions in underlying publication dynamics. In this article, we propose to extend and apply one such model to determine whether interactions between news headlines on Reddit play a significant role in their underlying publication mechanisms. After conducting an in-depth case study on 100,000 news headline from 2019, we retrieve state-of-the-art conclusions about interactions and conclude that they play a minor role in this dataset.