The 6th Social Media Prediction Challenge

ACM Multimedia Conference

October 29 - November 3, 2023, Ottawa, Canada

News

  • [2022-06-07]:We released the leaderboard of the 6th SMP Challenge.
  • [2022-03-02]:We will continuously host the 6th SMP Challenge.

Overview

SMP Challenge is an annual challenge that seeks excellent research teams on new ways of forecasting problems and meaningfully improving people’s social lives and business scenarios. The enormous amounts of online content lead to overconsumption, online word-of-mouth helps us to efficiently discover interesting news, emerging topics, the latest stories, or amazing products from the information ocean. Therefore, predicting online popularity became an emerging and significant task for online media, brand marketing, social influencers, or our individuals. We formulated this task as the Social Media Popularity Prediction. It focuses on predicting the impact of online post sharing on social media. It is central to various scenarios, such as online advertising, social recommendation, demand forecasting, etc.


Dataset

Social Media Prediction Dataset (SMPD): a massive-scale, multimodal, and temporal dataset with over 486K social multimedia posts from 70K users and various social media information including anonymized photo-sharing records, user profiles, images, texts, times, or other metadata. SMPD is collected from Flickr's online streams. For keeping temporal properties, we conducted a chronological split for training and testing data (commonly, by date and time).

Dataset #Post #User #Categories Temporal Range (Months) Avg. Title Length #Customize Tags
SMPD 486k 70k 756 16 29 250k

Important Dates

  • March 5, 2023

    Dataset available for download

  • May 30, 2023 June 5, 2023 10pm EST(extend 4 days by participant requests)

    Results submission

  • June 1 - June 5, 2023

    Objective evaluation and human evaluation

  • July 5, 2023 July 8, 2023

    Evaluation leaderboard announce

  • June 25, 2023 July 1, 2023

    Paper submission date

  • July 1, 2023 July 5, 2023

    Acceptance notification

  • July 14, 2023

    Camera-ready submission


Citation

If you intend to publish results based on the resources from our challenge, please kindly include the following references:

@inproceedings{Wu2019SMP,
  title={SMP Challenge: An Overview of Social Media Prediction Challenge 2019},
  author={Wu, Bo and Cheng, Wen-Huang and Liu, Peiye and Liu, Bei and Zeng, Zhaoyang and Luo, Jiebo},
  booktitle={Proceedings of the 27th ACM International Conference on Multimedia},
  year={2019}
}
@inproceedings{Wu2017DTCN,
    title={Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks},
    author={Wu, Bo and Cheng, Wen-Huang and Zhang, Yongdong and Qiushi, Huang and Jintao, Li and Mei, Tao},
    booktitle={International Joint Conference on Artificial Intelligence (IJCAI)},
    year={2017},
    location = {Melbourne, Australia}}
@inproceedings{Wu2016TemporalPrediction,
    author = {Wu, Bo and Mei, Tao and Cheng, Wen-Huang and Zhang, Yongdong},
    title = {Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition},
    booktitle = {Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI)}
    year = {2016},
    location = {Phoenix, Arizona}}
            

Our Teams


Bo Wu

MIT-IBM Watson AI Lab

bo.wu@ibm.com

Wen-Huang Cheng

National Taiwan University

wenhuang@csie.ntu.edu.tw

Bei Liu

Microsoft Research Asia

bei.liu@microsoft.com

Jiebo Luo

University of Rochester

jluo@cs.rochester.edu

Jia Wang

National Yang Ming Chiao Tung University

vicky.ee08@nycu.edu.tw

Zhaoyang Zeng

International Digital Economy Academy

zengzhaoyang@idea.edu.cn

Peiye Liu

Beijing University of Posts and Telecommunications

liupeiye@bupt.edu.cn

Qiushi Huang

University of Surrey

qiushi.huang@surrey.ac.uk

Copyright © 2023. SMP Challenge Organization Committee. All rights reserved.