30 Questions
What percentage of the final grade is allocated to quizzes in the course?
30%
How many classes involve student paper presentations in the course?
11
What is the participation requirement to receive full points in the course?
Attend all lectures, participate in 90% of polls, submit questions for 9 out of 10 weeks
How can students ensure their poll activities are recorded?
Check their vote history on Poll Everywhere
What types of devices can students use to respond to Poll Everywhere polls?
Laptop, tablet, smartphone
What is the purpose of participating in classroom discussions in the course?
To receive full participation points
What is the instructor's background in terms of education and work experience?
PhD in computer science from Columbia University, 10+ years at IBM Watson Research Center as a Research Scientist, 9 years at UMBC
What are the three deliverables required for the team project?
Project proposal, interim report, final report
What is the primary basis for assessing the team project?
(a) sophistication of the analysis methods/algorithms implemented, (b) soundness of the approach, and (c) final performance on new testing data
What are the current projects the instructor is involved in?
Assessing and mitigating bias/hallucination in Large Language Models (LLMs), Multimodal LLMs, and Causal NLP.
What are some example topics for the team project?
Assess the truthfulness of information shared on social media, assess the trustworthiness of people/accounts on social media, automated detection of cyberbullying, identify influencers, spread of misinformation/disinformation, and countering the influence of misinformation/disinformation
When are the instructor's office hours and where are they held?
Thursdays 3:30-4:30pm, held in ITE 434.
What will be the sources of training and evaluation datasets for the team project?
Training and evaluation datasets will be provided by the instructor
What is the recommended textbook for the course?
Web Data Mining: Exploring Hyperlinks, Contents and Usage Data, by Bing Liu, Springer, July 2011. ISBN: 978-3-642-19459-7.
What are some of the instructor's research areas?
Natural Language Processing (NLP), social media analysis, fair and trustworthy AI, and human-AI interaction.
How many in-class quizzes are scheduled for this course?
3 in-class quizzes
What type of questions can students expect in the quizzes?
Mostly multiple choice and true/false questions
What are some of the main topics covered in the course?
Social media analysis: overview and other related topics.
What are some examples of social media platforms mentioned in the text?
Flickr, YouTube, Facebook, Instagram, Snapchat, WordPress, Twitter, Amazon, Quora, Stack Overflow
Why do different people prefer different social media platforms?
Possible reasons include different purposes, individual preferences, cultural reasons, political and social reasons, and privacy considerations.
How can teamwork be encouraged in a project based on the text?
By ensuring that everyone contributes roughly equally to the project and conducting peer evaluations at the end.
What do observations suggest about the use of multiple social media platforms by the same person?
Observations suggest that the same person uses multiple platforms.
How can instructors adjust project scores according to the text?
Instructors can adjust project scores based on peer evaluations.
How are the popularity and time spent on social media platforms related?
The popularity of social media platforms can be reflected in the average daily time spent on them.
What are some examples of media content text social media platforms?
Blogs, Facebook, Twitter, Wikipedia, forums, reviews
Name some social media platforms where you can find images?
Flickr, Instagram, Pinterest
Which platforms are known for video content in social media?
YouTube, Vimeo
What is the purpose of metadata in social media?
To organize information for search, annotate with labels, and add geo-references.
What are some examples of social interactions in social networks?
Following others, sharing information, creating/joining special-interest groups
What methodologies are used in social media analysis?
Computational approach, data mining, machine learning, natural language processing, etc.
Learn about the requirements for in-class quizzes and team projects, including format, scoring, and deadlines. Quizzes are open book/notes and consist of multiple choice and true/false questions. Team projects involve selecting a topic related to lecture topics and delivering a project proposal, interim report, and final report.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
