2.5 Social Media

Question 1

What are the 3Vs of Big data?

Answer 1

• Volume = large data
• Variety = unstructured, different data types
• Velocity = dynamic, fast-paced

Question 2

What are the three steps to dealing with big data

Answer 2

• Data scraping/web scraping (collect data from web, structure data in more convenient formant)
• Data mining (find patterns, human decision-making)
• Machine Learning (human input rules, machine learns/refines patterns, uses algorithms to make predictions)

Question 3

What did Saha et al. (2022) study? what were the results?

Answer 3

• assessing how social media data correspond with ground-truth data
• social media interactions of college students an predict ground-truth data of on-campus mental health consultations

Question 4

What did Kramer at al. (2014) study? what did they find?

Answer 4

• test whether emotions on Facebook newsfeed influence users’ posting behaviors
• no consent, controversial study
• emotional states can be transferred to others via emotional cognition, leading people to experience the same emotions without their awareness

Question 5

what are two types of data collection?

Answer 5

• Reactive (people are aware that they are being studied)
• Non-reactive (not aware they are being studied)

Question 6

when are the BPS ethic guidelines for internet-mediated research (IMR) used?

Answer 6

• when experimenter is physically absent
• for reactive research
• for non-reactive research

Question 7

What are the 4 big ethics for IMR?

Answer 7

1. right for privacy
2. informed consent and withdrawal
3. confidentiality and anonymity
4. risk of harm

Question 8

What is meant by a informed consent?

Answer 8

inform ppts on details about study, possible risks

Question 9

what is meant by withdrawal from study

Answer 9

• does deleting a post/user account count as withdrawal?
• would researcher notice?

Question 10

what is internet mediated research?

Answer 10

research that uses the internet and its associated technologies to remotely acquire data from or about human participants

Question 11

what is machine learning?

Answer 11

the use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyse and draw inferences from patterns in data.