Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Rumor Detection on Social Media: Datasets, Methods and Opportunities   Social media platforms have been used for information and news gathering, and
they are very valuable in many applications. However, they also lead to the
spreading of rumors and fake news. Many efforts have been taken to detect and
debunk rumors on social media by analyzing their content and social context
using machine learning techniques. This paper gives an overview of the recent
studies in the rumor detection field. It provides a comprehensive list of
datasets used for rumor detection, and reviews the important studies based on
what types of information they exploit and the approaches they take. And more
importantly, we also present several new directions for future research.

15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con