Project Overview
This study is funded by the Social Science Research Council under the Mercury Project
Research Questions and Hypotheses (for Main Study)
Hypothesis 1: Assignment to the muting treatment (H1a) and the media literacy treatment (H1b) will reduce total engagement with low-quality news sources during the treatment period. The effect of the muting treatment will be larger (H1c).
Hypothesis 2: Assignment to the media literacy treatment will improve sharing and accuracy discernment between true and false information in wave 2 (post-treatment) and in wave 3.
Research question 1: Will assignment to the muting treatment affect sharing and accuracy discernment between true and false information in wave 3?
Research question 2: Will assignment to the muting treatment affect total engagement with low-quality news sources excluded from the treatment (i.e., those that are not muted) during the treatment period?
Hypothesis 3: Assignment to the muting treatment will increase total engagement with high-quality sources during the treatment period.
Research question 3: Will assignment to the muting or media literacy treatments change trust in low-quality accounts (RQ3a) or how much respondents value those accounts (RQ3b)?
Research question 4: Will assignment to the muting or media literacy treatments change total engagement with low- or high-quality news sources after the treatment period? How will the muting effect vary depending on whether the accounts are unmuted for participants or left muted by default?
Study Design (Pilot Study)
We conducted a multi-arm, multi-wave RCT on Twitter/X (treatment period: 1 month).
Wave 1. Screening Survey
We screened out those who (1) don’t use X frequently, (2) failed to pass the attention check, (3) didn’t consent or failed to authorize our X developer app, (4) didn’t follow our study account (needed for sending DMs), and (5) didn’t fully complete Wave 1 survey.
Based on participants who passed these screening criteria, we ran eligibility checks.
To be eligible for Wave 2 invitation, participants’ X accounts should not be created too recently (at least created 2 mo prior to the study). Eligible participants were those who were following at least one of the low-quality sources from our list (inventory of low-quality sources from third-party checkers such as NewsGuard), or exposed to at least one low-quality sources in their home timelines.
Wave 2. Midline Survey
We invited eligible participants who are likely to have low-quality information diets on X (following
OR exposed
).
In Wave 2, we elicited WTA (willingness to accept) and then randomized participants.
Elicit WTA (Willingness to Accept)
To measure how participants value getting information from low-quality sources in $ amount, we elicited their WTA (willingness to accept) to mute those low-quality accounts.
For example, we asked:
“The computer has randomly generated an amount of money to offer you to mute the accounts (please note: it may be nothing). Before we tell you what the offer is, we will ask you the dollar amount that an offer would have to exceed for you to mute these accounts. If the offer the computer generated is above the amount you give, we will mute the accounts for four weeks and pay you the offer amount as long as you keep these accounts muted. If the offer is equal to or below that amount, we will not mute the accounts and you will not receive an additional payment. (…) Please consider your answer carefully and then indicate the dollar amount that an offer would have to exceed for you to mute these accounts for four weeks."
The compute generated amount of offer was $15. We dropped participants with WTA >= $15 and randomized those with WTA < $15.
Randomization
Among those with WTA < $15,
33% were randomized into
Muting1
group and received $15 fixed amount if they complied throughout the treatment period (1 month).“The payment you are offered is $15. This is above the payment you requested. The accounts have been muted and you will receive the payment in one month as long as they stay muted.”
For the incentive compatibility, 1% were randomized into
Muting2
group and received $0~30 random amount, if their WTA < random amount and they complied throughout the treatment period.“The payment you are offered is ${random amount}. This is above the payment you requested. The accounts have been muted and you will receive the payment in one month as long as they stay muted.”
33% were randomized into
Media Literacy
group.“The payment you are offered is below the amount you requested, no account have been muted. Now we would like to present some information that will help you to better evaluate the headlines you see on social media. Please read the information below carefully; we will ask you questions about them later.”
33% were assigned to
Control
group.“The payment you are offered is below the amount you requested. You do not need to mute any accounts.”
Intervention 1. Muting
Once participants are randomized to the muting condition, we did the muting on behalf of them (100% compliance!).
List of low-quality accounts to mute:
- We combined the list of untrustworthy news sources from NewsGuard and Top FIBers superspreaders list.
- NewsGuard list filtering criteria: Rating < 60, US-based, English, active X accounts
- Top FIBers criteria: FIB index > 10
- Combined list: 1,441 accounts after manual reviewing/filtering, which were sorted in descending order by follower count.
- We then kept accounts comprising ~95% of total follower sum (due to power law distribution).
- Then, we randomly selected 70% (7 out of 10) from each stratum of 10.
Thus, for the pilot study, 219 accounts were muted per participant.
Intervention 2. Media Literacy
We used media literacy tips from Guess et al. PNAS (2020).
- Left (3 images): For media literacy group, we sent out one message per week (starting one week after wave 2, 3 times throughout the treatment period).
- Right: For placebo, we also sent out one message per week to other groups (muting, control).
Wave 3. Endline Survey
After one-month treatment period for each participant, we invited them to Wave 3 survey to measure post-treatment outcomes.
Also, we elicited WTA again and randomized once more, to check the effect of temporarily muting accounts on behavior. We offered participants options to keep muting (for muting group) or mute low-quality sources (for media literacy and control groups).
The purpose of this desing is to check whether unmuting effect exactly the opposite to muting, or whether people/algorithms change their behavior after some accounts have been muted for a while.
Randomization
- 49% - no offer
- For muting group, we let them opt to unmute if wanted.
- 49% - $0 offer
- For muting group, we unmuted muted low-quality accounts.
- For media literacy and control groups, there was no muting.
- 2% - $0~30 random offer
- If WTA < random offer:
- For muting group, we kept muted low-quality accounts as muted for further 1 month.
- For media literacy and control groups, we newly muted low-quality accounts for 1 month.
- If WTA >= random offer: same with $0 offer case.
- If WTA < random offer:
Hence, after the wave 3, we had post-endline 1-month treatment period as well. Although for the pilot study, we did not collected post-endline engagement data.
Flow of Pilot Study
To summarize,