Hide table of contents

Summary

I collected data on the social media accounts of 79 EA-related organisations. Key findings:

  • Orgs have far more followers on Facebook and Twitter than on Instagram. Facebook accounts typically have more followers than Twitter accounts, but this varies between cause areas
  • A number of Longtermism- and Infrastructure-focused orgs have stepped away from social media since 2021
  • On Facebook, posting regularly correlates weakly with having a larger following
  • Overall, it appears that EA-aligned organisations should consider their cause area within EA when forming a social media strategy

Methodology

I checked the Facebook, Twitter and Instagram accounts of each of the orgs on this list of EA-related organisations and collected data on 1) the number of days since last posting and 2) the number of followers. See the footnotes for details on methodology[1] and limitations[2] [Footnotes are included in the main text because the forum is being glitchy].

You can find the full dataset here.

Data Overview

  • 87% of the 79 organisations surveyed have an account on either Facebook, Twitter or Instagram
  • Of the organisations on social media, only 58% had been active in the past week
  • Most of the organisations use Facebook and Twitter and less than half of them use Instagram:

There was a good spread of cause areas in the survey:

Cause areaNumber of organisations
Animal Advocacy12
Longtermism15
Global Health & Poverty18
Infrastructure24
Other10
Total79

 

Orgs to Watch

A number of the organisations stood out for their aptitude on social media. Below are “ten organisations to watch”, with links to their respective accounts:

OrgCause areaLinksReasons to watch
The Humane LeagueAnimal Advocacy

FB

T

IG

Regular posts and diverse content. Strong on all platforms
Animal Ethics

FB

T

IG

Facebook powerhouse. Diverse Instagram content, cross-channel promotion
Future of Life InstituteLongtermism

FB

T

IG

Harnessing clips and quotes from their podcast, highly active on all platforms
SightsaversGlobal Health & Poverty

FB

T

IG

40,000 tweets and counting
GiveDirectly

FB

T

IG

Putting a human face on their work on Instagram
Abdul Latif Jameel Poverty Action Lab

FB

T

 Regular, diverse Twitter content
Evidence Action

FB

T

IG

Engaging visuals with every post
80,000 HoursInfrastructure

FB

T

IG

Longer, regular but infrequent Facebook posts
High Impact Athletes

FB

T

IG

Eyeball-grabbing visuals on Instagram
Our World in DataOther

FB

T

IG

Making data sing on Instagram

Follower Data

Facebook or Twitter? It depends on the cause area.

65% of organisations had more followers on Facebook than on Twitter. Comparing the median value of Facebook followers per Twitter follower within each cause area, we see significant variation (with the caveat that sample sizes are small). 

It appears that cause area has a strong correlation with which platform an organisation does best in: all Animal Advocacy orgs had more Facebook followers than Twitter followers, while 5 of 8 Longtermist orgs had the opposite trend.

Why such a difference between the cause areas? I have a few suggestions:

  • Anecdotally, Facebook is better than Twitter for harnessing broad audiences with shared interests. Animal Advocacy orgs may have been able to snare the audiences of big groups like Greenpeace and the WWF (3.1M and 3.6M Facebook followers respectively). The other cause areas don’t have such big peers to poach from (Oxfam has 1.1M followers, and Longtermism barely exists beyond EA)
  • It seems plausible that Twitter is simply more popular among Effective Altruists. This would explain why the Animal Advocacy movement, within which EAs are a minority, is an exception here (although EAs are also a minority in Global Health & Poverty)
  • Some Longtermist and Infrastructure orgs have stopped using Facebook since 2021 and hence can expect to be weaker on the platform (see next subsection)
  • Demographics. Twitter is more male than Facebook, and Longtermism is probably more male than than the other cause areas

I do not take the demographics argument too seriously, however: there is far more variation within cause areas than can be explained by age or gender or random variation. Take a look at the four “most followed” animal advocacy organisations:

Organisation

Facebook followers per Twitter follower

The Good Food Institute

4.2

Faunalytics

6.5

The Humane League

17

Animal Ethics

55

The Facebook:Twitter ratio varies by a full order of magnitude!

What can we learn here? 

  • If there are organisations in your field with giant followings, Facebook may be the best platform to build a following on (research needed on this)
  • I would tentatively suggest that the “more EA” your expected audience is, the more highly you should value Twitter.
  • Learn from the best: check out the “ten organisations to watch” above

 

Some Longtermist & Infrastructure orgs are stepping away from social media

Below are shown orgs with a strong following that have not posted on Facebook for 90 days or more.

Organisation

Cause Area

Days since last FB post

Days since last Twitter post

Tweeting regularly?

Founders PledgeInfrastructure

120

3

yes
Machine Intelligence Research Institute (MIRI)Longtermism

180

11

no
Centre for Effective Altruism (CEA)Infrastructure

180

60

no
Centre on Long-term Risk (CLR)Longtermism

630

600

no
Future of Humanity Institute (FHI)Longtermism

690

60

no



 

These orgs appear to have consciously stopped using Facebook, and most no longer systematically use Twitter either.

Why? I have a few ideas:

  • Orgs may be concerned that social media communicates a crude message. CEA have written about the "Fidelity Model" of communication, concluding that the dangers of low-fidelity channels may outweigh the benefits. [@Alishaandomeda gives a good counter argument to this conclusion, as does @Arepo, who indicates that CEA now plans to have more active involvement with the media]
  • The above may be especially relevant for Longtermist orgs, whose research is rife with infohazards and easily misrepresented.
  • Some Longtermist and EA Infrastructure orgs have secured funding through billionaires and regranting programmes. They don't need individual donors and thus have less incentive to build a mass following

The funding situation may have changed with the collapse of FTX, however: CLR admitted to a funding crisis in a recent appeal for donations - an appeal that will likely reach fewer people than if they had invested in building their audience.

 

Follower numbers are much lower for Instagram, but a few orgs are making the most of the platform

Most of the orgs on the list had Facebook and Twitter, but fewer than half had Instagram:

Animal Advocacy and Global Health & Poverty orgs were much more likely to be on Instagram, while only one of the Longtermist orgs was on the platform:

Organisations can be justified in feeling they have less to gain from Instagram: on average, orgs had 7.7 Facebook followers for each Instagram follower[3].

Why the difference between cause areas?

  • Global Health and Poverty organisations are more likely to have large followings (>10k), so have more to gain from running an Instagram account
  • Animal Advocacy and Global Health and Poverty organisations have more savvy competitors (like Greenpeace and Oxfam) and hence may feel a need to be on Instagram in order to keep up
  • Animal Advocacy and Global Health and Poverty lend themselves more naturally to visual content, while AI alignment or EA infrastructure can be difficult to turn into engaging images.

There are, however, a few orgs that are making the most of Instagram. Go back to the “ten organisations to watch” above.

 

In terms of follower count (total followers across the three platforms), each cause area is dominated by its top organisations. The table shows the follower count of the top 3 orgs in each cause area as a percentage of the total follower count for all orgs in the cause area.

Cause area

% of followings attributable to top 3 orgs

Animal Advocacy

96%

Global Health & Poverty

55%

Infrastructure

56%

Longtermism

78%


 

What can we learn from this?

  • If you are an Animal Advocacy organisation looking for exposure, a mention or retweet from one of the top accounts in your field (The Humane League, Animal Ethics and The Good Food Institute) could be gold dust
  • The same is true to a lesser extent for Longtermist orgs (look to Future of Life Institute, Machine Intelligence Research Institute and Future of Humanity Institute)
  • In all cause areas the top 3 organisations are capturing more than half of the followings of the field. This is an “80/20” situation in which a small group of orgs wield most of the social media influence.

 

Regular posting is correlated with number of followers

Using "days since last post" as a proxy for regularity of posts, there is moderate correlation with following size (this part of the analysis uses Facebook data only).

Using the full dataset gives an Pearson correlation coefficient of -0.39 (with both axes logarithmic)[4]

When we remove orgs that have not posted in the last 2 months the strength of correlation increases, with a Pearson value of -0.52. The gradient of the trendline becomes much steeper (see chart below).

I think this chart better reflects the relationship between regularity of posts and size of following. Those organisations which have stepped away from Facebook (having built a following back when they were posting regularly) were clouding the picture.

What can we learn here? Not much. The data cannot prove the direction of causation, but it probably goes both ways: orgs with a large following have more incentive to harness their audience by posting regularly; orgs that post regularly will attract more followers. My advice to orgs would be:

  1. Posting regularly can be a way to grow your following, but
  2. Growing your following is not an end in itself. You should have a clear idea of what you want to do with your following. What message do you want to give them? What actions do you want them to take?
  3. Both 1) and 2) should inform what you post, and how regularly

 

Areas for Further Study

Sifting through the data has given me a few ideas for hypotheses, although this dataset is not able to support them. These hypotheses could be useful in informing future research:

  • Hypothesis 1 - The social media engagement of EA-related orgs fits into three broad categories:
    • Conscious engagement: planning and executing a strategy to get the most from social media platforms
    • Conscious disengagement: deciding not to use social media because the risks and costs are deemed to outweigh the benefits
    • Unconscious disengagement: personal aversion to social media or a lack of bandwidth leads to sporadic and ineffective engagement with the platforms
  • Hypothesis 2 - Facebook engagement is declining, especially among younger people, and hence official accounts on the platform will be of diminishing value to EA orgs in the years ahead (although it may be that as Pages are becoming less powerful, Groups are becoming more so).
     

Acknowledgements

Thanks to @Alishaandomeda for providing useful feedback.

 

Footnotes 

[Included in the main text because the Forum is being glitchy]

[1] Methodology

  • I did not include the 6 orgs from the list that appear to be no longer operational
  • Days since last post was measured from 1500 UTC on 12 December 2022 and the age of posts more than 2 months old was rounded to the nearest 30 days
  • Number of followers was recorded to 2 significant figures and checked on 23 December 2022.

[2] Limitations: 

  • The list of EA-related orgs dates from October 2020, so a number of newer orgs have been left out. It seems plausible that the newer orgs missed by the list would be more active on social media and have smaller followings than the ones included in this study. Given the declining importance of Facebook in the social media landscape, it also seems plausible that newer orgs will place less emphasis on Facebook engagement, and that this study might exaggerate the importance of Facebook.
  • The study only examines Facebook, Twitter and Instagram usage at a fixed moment in time. It does not extend to:
    • Engagement over time. For example, a repeat study in the future could track changes in followings and examine how closely this is correlated with regularity of posting
    • Other social media platforms like Linkedin and Youtube.
    • Asking orgs about their social media strategy. It would be interesting to reach out to orgs, especially those stepping away from social media, to ask them to explain their social media strategy
    • The effect of paid promotions

[3] Of the 29 organisations with both Facebook and Instagram accounts, the median “Facebook followers per Instagram followers” score was 7.7

[4] Correlation: The correlation was weaker when the scales were not logarithmic, or when only one of them was. 

Chart: Orgs with a post 0 days ago are not visible on the charts, but are included in the R² values.


 

Comments8


Sorted by Click to highlight new comments since:

I'd be interested to see what you think of Giving What We Can's social media presence! 

(I am Head of Marketing and produce most of the social media posts and content promoted via our social media. This is not a large focus of my role but something I am happy to receive feedback on.)

I have sent some feedback via email. Thanks!

Hi Stan, I manage Giving Green's social-media accounts. Really appreciate your analyses here and fascinating to see what works for other orgs.  I'd love to see how these trends change, if it's not too much work to repeat!

I'm in the process of analysing our social data from the past giving season. Happy to share what I discover and compare notes. I'm at sunnie.huang@idinsight.org 

Yes please! I have sent an email.

Would love to see a similar analysis for LinkedIn, for example. There are a decent list of groups, from 80K to GWWC, Founders Pledge to the project I work with, GWWC Charity Elections, that aim to target people as professionals, or in specific professions or professional contexts. It would be instructive to see what success EA has had engaging audiences through that platform, and how.

The data I would be most interested to see (if you plan to do further research on this) is of when people started following the page (rather than overall numbers of followers). I believe you mentioned this briefly in the limitations footnote.

A lot of people follow a lot of pages, and may have followed something years ago. If their interests change, but the page doesn't post, it seems relatively unlikely that someone will go out of their way to unfollow it. Perhaps they've even forgotten that they've followed it to begin with!

That was my first thought (intuition, no evidence) when you mentioned that the correlation between followers and date since last post was steeper when organisations that have not posted in the last 2 months were removed, i.e. this cuts out the 'followed this years ago and forgot, no new posts to remind me' followers.

I would love to do that. Maybe I'll learn more data stuff, because I want to be able to scrub data so I can get more of it, faster. Any idea if that sort of data is even public?

I agree with you on engagement. It would be good to get better data  on that, because number of followers is probably quite a poor proxy for engagement. Numbers of views, likes and comments are probably far better.

Interesting and helpful, thanks for doing this research

Curated and popular this week
Paul Present
 ·  · 28m read
 · 
Note: I am not a malaria expert. This is my best-faith attempt at answering a question that was bothering me, but this field is a large and complex field, and I’ve almost certainly misunderstood something somewhere along the way. Summary While the world made incredible progress in reducing malaria cases from 2000 to 2015, the past 10 years have seen malaria cases stop declining and start rising. I investigated potential reasons behind this increase through reading the existing literature and looking at publicly available data, and I identified three key factors explaining the rise: 1. Population Growth: Africa's population has increased by approximately 75% since 2000. This alone explains most of the increase in absolute case numbers, while cases per capita have remained relatively flat since 2015. 2. Stagnant Funding: After rapid growth starting in 2000, funding for malaria prevention plateaued around 2010. 3. Insecticide Resistance: Mosquitoes have become increasingly resistant to the insecticides used in bednets over the past 20 years. This has made older models of bednets less effective, although they still have some effect. Newer models of bednets developed in response to insecticide resistance are more effective but still not widely deployed.  I very crudely estimate that without any of these factors, there would be 55% fewer malaria cases in the world than what we see today. I think all three of these factors are roughly equally important in explaining the difference.  Alternative explanations like removal of PFAS, climate change, or invasive mosquito species don't appear to be major contributors.  Overall this investigation made me more convinced that bednets are an effective global health intervention.  Introduction In 2015, malaria rates were down, and EAs were celebrating. Giving What We Can posted this incredible gif showing the decrease in malaria cases across Africa since 2000: Giving What We Can said that > The reduction in malaria has be
Ronen Bar
 ·  · 10m read
 · 
"Part one of our challenge is to solve the technical alignment problem, and that’s what everybody focuses on, but part two is: to whose values do you align the system once you’re capable of doing that, and that may turn out to be an even harder problem", Sam Altman, OpenAI CEO (Link).  In this post, I argue that: 1. "To whose values do you align the system" is a critically neglected space I termed “Moral Alignment.” Only a few organizations work for non-humans in this field, with a total budget of 4-5 million USD (not accounting for academic work). The scale of this space couldn’t be any bigger - the intersection between the most revolutionary technology ever and all sentient beings. While tractability remains uncertain, there is some promising positive evidence (See “The Tractability Open Question” section). 2. Given the first point, our movement must attract more resources, talent, and funding to address it. The goal is to value align AI with caring about all sentient beings: humans, animals, and potential future digital minds. In other words, I argue we should invest much more in promoting a sentient-centric AI. The problem What is Moral Alignment? AI alignment focuses on ensuring AI systems act according to human intentions, emphasizing controllability and corrigibility (adaptability to changing human preferences). However, traditional alignment often ignores the ethical implications for all sentient beings. Moral Alignment, as part of the broader AI alignment and AI safety spaces, is a field focused on the values we aim to instill in AI. I argue that our goal should be to ensure AI is a positive force for all sentient beings. Currently, as far as I know, no overarching organization, terms, or community unifies Moral Alignment (MA) as a field with a clear umbrella identity. While specific groups focus individually on animals, humans, or digital minds, such as AI for Animals, which does excellent community-building work around AI and animal welfare while
Max Taylor
 ·  · 9m read
 · 
Many thanks to Constance Li, Rachel Mason, Ronen Bar, Sam Tucker-Davis, and Yip Fai Tse for providing valuable feedback. This post does not necessarily reflect the views of my employer. Artificial General Intelligence (basically, ‘AI that is as good as, or better than, humans at most intellectual tasks’) seems increasingly likely to be developed in the next 5-10 years. As others have written, this has major implications for EA priorities, including animal advocacy, but it’s hard to know how this should shape our strategy. This post sets out a few starting points and I’m really interested in hearing others’ ideas, even if they’re very uncertain and half-baked. Is AGI coming in the next 5-10 years? This is very well covered elsewhere but basically it looks increasingly likely, e.g.: * The Metaculus and Manifold forecasting platforms predict we’ll see AGI in 2030 and 2031, respectively. * The heads of Anthropic and OpenAI think we’ll see it by 2027 and 2035, respectively. * A 2024 survey of AI researchers put a 50% chance of AGI by 2047, but this is 13 years earlier than predicted in the 2023 version of the survey. * These predictions seem feasible given the explosive rate of change we’ve been seeing in computing power available to models, algorithmic efficiencies, and actual model performance (e.g., look at how far Large Language Models and AI image generators have come just in the last three years). * Based on this, organisations (both new ones, like Forethought, and existing ones, like 80,000 Hours) are taking the prospect of near-term AGI increasingly seriously. What could AGI mean for animals? AGI’s implications for animals depend heavily on who controls the AGI models. For example: * AGI might be controlled by a handful of AI companies and/or governments, either in alliance or in competition. * For example, maybe two government-owned companies separately develop AGI then restrict others from developing it. * These actors’ use of AGI might be dr
Recent opportunities in Building effective altruism
46
Ivan Burduk
· · 2m read