# first.items[].content
@livia is an automated profile meant to observe how users of different instances interact via replies, boosts and mentions, and what kind of interesting patterns emerge from these interactions.

In order to do so, it is going send follow requests to a predetermined sample of publicly visible profiles from ~40 instances. Its requests can be rejected or revoked at any time. It does NOT collect personal data. It does NOT expand its network of followed profiles over time. (2/5)

# first.items[].contentMap.en
@livia is an automated profile meant to observe how users of different instances interact via replies, boosts and mentions, and what kind of interesting patterns emerge from these interactions.

In order to do so, it is going send follow requests to a predetermined sample of publicly visible profiles from ~40 instances. Its requests can be rejected or revoked at any time. It does NOT collect personal data. It does NOT expand its network of followed profiles over time. (2/5)

# first.items[].content
A small update on this. I will be updating the sample to make sure it respects #nobot markers in user profiles. I also revised the list of observed instances to exclude instances that explicitly disallow automated profiles interacting with users.

I will also be excluding mastodon.social, as its huge user base would balloon the sample size to unreasonable numbers (quota sampling).

Deployment will have to wait a while.

# first.items[].contentMap.en
A small update on this. I will be updating the sample to make sure it respects #nobot markers in user profiles. I also revised the list of observed instances to exclude instances that explicitly disallow automated profiles interacting with users.

I will also be excluding mastodon.social, as its huge user base would balloon the sample size to unreasonable numbers (quota sampling).

Deployment will have to wait a while.

# first.items[].content
Hey folks. I took the day off yesterday. As promised, I want to share some surface level statistics as we approach 48h since initial deployment.

@livia has already seen over 22.000 interactions. Of those, ~14.000 have been boosts, ~6.000 replies and ~2.000 mentions (excluding the default mention added when replying to someone). In total, Livia has learned about 1.200 instances, many of which run other software such as pleroma, friendica, misskey, pixelfed and even wordpress.

# first.items[].contentMap.en
Hey folks. I took the day off yesterday. As promised, I want to share some surface level statistics as we approach 48h since initial deployment.

@livia has already seen over 22.000 interactions. Of those, ~14.000 have been boosts, ~6.000 replies and ~2.000 mentions (excluding the default mention added when replying to someone). In total, Livia has learned about 1.200 instances, many of which run other software such as pleroma, friendica, misskey, pixelfed and even wordpress.