news and paper.

content/publication/publications.bib

@@ -952,7 +952,7 @@ @inproceedings{Galat2023
     year = {2023}
 }
 
-@inproceedings{Calderon2024,
+@inproceedings{Calderon2024a,
     author = {Calderon, Pio and Ram, Rohit and Rizoiu, Marian-Andrei},
     booktitle = {The International AAAI Conference on Web and Social Media (ICWSM)},
     title = {Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions},
@@ -1098,3 +1098,14 @@ @inproceedings{Gong2023
    year = {2023},
 }
 
+@inproceedings{Calderon2024b,
+   abstract = {The spread of content on social media is shaped by intertwining factors on three levels: the source, the content itself, and the pathways of content spread. At the lowest level, the popularity of the sharing user determines its eventual reach. However, higher-level factors such as the nature of the online item and the credibility of its source also play crucial roles in determining how widely and rapidly the online item spreads. In this work, we propose the Bayesian Mixture Hawkes (BMH) model to jointly learn the influence of source, content and spread. We formulate the BMH model as a hierarchical mixture model of separable Hawkes processes, accommodating different classes of Hawkes dynamics and the influence of feature sets on these classes. We test the BMH model on two learning tasks, cold-start popularity prediction and temporal profile generalization performance, applying to two real-world retweet cascade datasets referencing articles from controversial and traditional media publishers. The BMH model outperforms the state-of-the-art models and predictive baselines on both datasets and utilizes cascade- and item-level information better than the alternatives. Lastly, we perform a counter-factual analysis where we apply the trained publisher-level BMH models to a set of article headlines and show that effectiveness of headline writing style (neutral, clickbait, inflammatory) varies across publishers. The BMH model unveils differences in style effectiveness between controversial and reputable publishers, where we find clickbait to be notably more effective for reputable publishers as opposed to controversial ones, which links to the latter's overuse of clickbait.},
+   author = {Pio Calderon and Marian-Andrei Rizoiu},
+   city = {Vilnius, Lithuania},
+   booktitle = {European Conference on Machine Learning and Data Mining},
+   month = {9},
+   title = {What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes},
+   url_Paper = {https://arxiv.org/pdf/2406.03390},
+   year = {2024},
+}
+

data/news.yaml

@@ -94,4 +94,16 @@ Detection: A case study of far-right extremism“. [Check the recording here](ht
     description: " :page_facing_up: The paper [The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills]() by [Daniela](../authors/daniela-elia/), [Andrei](../authors/ma-rizoiu/) and colleagues from the [UTS Data Science Institute](https://www.uts.edu.au/data-science-institute) and from [Data61 CSIRO](https://www.csiro.au/en/about/people/business-units/data61) was accepted with the [Australasian Conference on Information Systems (ACIS'23)](https://acis.aaisnet.org/). Good job, Daniela!"
   - date: '2023-10-18'
     description: " :page_facing_up: The paper [Transfer learning for hate speech detection in social media](https://link.springer.com/article/10.1007/s42001-023-00224-9) by [Frankie](../authors/lanqin-yuan/), [Andrei](../authors/ma-rizoiu/) and colleagues from the Australian National University was published in the [Journal of Computational Social Science](https://www.springer.com/journal/42001). Congrats, Frankie!"
+  - date: '2023-12-06'
+    description: " :page_facing_up: The paper [Conspiracy, Misinformation, Radicalisation: Understanding the online
+pathway to indoctrination and opportunities for intervention](https://journals.sagepub.com/doi/10.1177/14407833241231756) by [Emily](../authors/emily-booth/), [Jooyoung](../authors/jooyoung-lee/), [Andrei](../authors/ma-rizoiu/) and colleagues from the University of California Berkeley was published in the [Journal of Sociology](https://journals.sagepub.com/doi/10.1177/14407833241231756). Great job!"
+  - date: '2024-02-01'
+    description: " :page_facing_up: The paper [Harmony in the Australian Domain Space](https://dl.acm.org/doi/10.1145/3614419.3643998) by [Elaine](../authors/xian-gong/), [Andrei](../authors/ma-rizoiu/) and colleagues from the University of New South Wales and Università degli Studi di Milano, Italy, was accepted for publication in [WEBSCI '24: Proceedings of the 16th ACM Web Science Conference](https://websci24.org/). Congrats, Elaine!"
+  - date: '2024-05-09'
+    description: " [Lin](../authors/lin-tian) joined the Behavioral Data Science as a Research Associate (postdoc). Welcome Lin!"
+  - date: '2024-05-27'
+    description: " :page_facing_up: The paper [What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes](https://arxiv.org/pdf/2406.03390) by [Pio](../authors/pio-calderon/) and [Andrei](../authors/ma-rizoiu/) was accepted at [ECML-PKDD'24: Proceedings of the European Conference on Machine Learning and Data Mining](https://ecmlpkdd.org/). Safe travels to Vilnius, Lithuania!"
+  - date: '2024-06-12'
+    description: " What a fabulous night at the Defence and National Security Workforce Awards, celebrating [Emily](../authors/emily-booth/)'s successes and recognition. Emily was a finalist in the [category Best Female Technical Specialist under 35](https://www.defenceconnect.com.au/defence-national-security-workforce-awards/winners/2024-winners-and-finalists), for her work on understanding and countering online misinformation! It was so good having UTS' [Vice-Chancellor Andrew Parfitt](https://au.linkedin.com/in/andrew-parfitt-577284226?trk=public_post-text) and [Pro-Vice-Chancellor Research Chris Turney](https://au.linkedin.com/in/profchristurney?trk=public_post-text) cheer with us!! Check out [some photos from the night](https://www.linkedin.com/feed/update/urn:li:activity:7206643709914861569/)."
+