# PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts

arXiv: https://arxiv.org/abs/2407.04541 · HTML: https://mlsanity.com/paper/2407.04541/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 15 of its 29 references that are in the map.
- First posted on arXiv 5 Jul 2024.

## Builds on (most cited first, 15 of 15)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [Enriching Word Vectors with Subword Information](https://mlsanity.com/paper/1607.04606/) (2016)
- [Captum: A unified and generic model interpretability library for PyTorch](https://mlsanity.com/paper/2009.07896/) (2020)
- [The Falcon Series of Open Language Models](https://mlsanity.com/paper/2311.16867/) (2023)
- [Dreaddit: A Reddit Dataset for Stress Analysis in Social Media](https://mlsanity.com/paper/1911.00133/) (2019)
- [SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity](https://mlsanity.com/paper/1506.02594/) (2015)
- [The birth of Romanian BERT](https://mlsanity.com/paper/2009.08712/) (2020)
- [Ruddit: Norms of Offensiveness for English Reddit Comments](https://mlsanity.com/paper/2106.05664/) (2021)
- [Adversarial Training for Satire Detection: Controlling for Confounding Variables](https://mlsanity.com/paper/1902.11145/) (2019)
- [Discovering and Categorising Language Biases in Reddit](https://mlsanity.com/paper/2008.02754/) (2020)
- [A Reddit Dataset for the Russo-Ukrainian Conflict in 2022](https://mlsanity.com/paper/2206.05107/) (2022)
- [How to Become Instagram Famous: Post Popularity Prediction with Dual-Attention](https://mlsanity.com/paper/1809.09314/) (2018)
- [Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit](https://mlsanity.com/paper/2011.14326/) (2020)
- [How to Generate Popular Post Headlines on Social Media?](https://mlsanity.com/paper/2309.09949/) (2023)
- [Predicting the Popularity of Reddit Posts with AI](https://mlsanity.com/paper/2106.07380/) (2021)

## Abstract (arXiv)

We introduce PoPreRo, the first dataset for Popularity Prediction of Romanian posts collected from Reddit. The PoPreRo dataset includes a varied compilation of post samples from five distinct subreddits of Romania, totaling 28,107 data samples. Along with our novel dataset, we introduce a set of competitive models to be used as baselines for future research. Interestingly, the top-scoring model achieves an accuracy of 61.35% and a macro F1 score of 60.60% on the test set, indicating that the popularity prediction task on PoPreRo is very challenging. Further investigations based on few-shot prompting the Falcon-7B Large Language Model also point in the same direction. We thus believe that PoPreRo is a valuable resource that can be used to evaluate models on predicting the popularity of social media posts in Romanian. We release our dataset at https://github.com/ana-rogoz/PoPreRo.