Why indonesians are all a twitter

Indonesia is also seeking to expand its nickel and electric vehicle EV industries, requiring more land. Fitch Solutions, in a research note on the COP26 pledge, said it could pose a risk to Indonesia's EV supply chain development and establishment of new nickel mines due to pressure to stem deforestation. Subscribe for our daily curated newsletter to receive the latest exclusive Reuters coverage delivered to your inbox.

Indonesia among three most forested countries Pledge at odds with Indonesia development plans - minister Outrage online, among activists over COP26 U-turn Minister says deforestation halt was never part of pledge Pledge a risk for Indonesia's mining, EV sector.

More from Reuters. Sign up for our newsletter Subscribe for our daily curated newsletter to receive the latest exclusive Reuters coverage delivered to your inbox. While there has been targeted internet disruption in Papua and Indonesia, and the banning of counter narrative YouTube content , something that has not been exposed, until now, is an active bot network disseminating pro-government content through major social media platforms.

The campaign, fuelled by a network of bot accounts on Twitter, expands to Instagram, Facebook and YouTube. The captured data was used to perform the network analysis. With this working dataset, I was able to visualise the respective networks via the open source visualisation platform Gephi. Below is a visualisation of the entire capture. Opening the graph for analysis, labels and clusters are illustrated below:.

The data is represented through two mediums: nodes and edges. The nodes are the round coloured circles you are seeing, they are twitter accounts and vary in size based on the interaction of the account. The edges are the lines between them.

They represent the relationship between the accounts. In the captured data this is a mention, like, retweet or quote. These are the larger circles.

On the visualisation, they are represented much like perfectly shaped fireworks. Any interactions they have had are captured around them in circular fashion. In this example, the account in the center is thejuicemedia. They recently posted a satire video on YouTube which was banned in Indonesia after the Indonesian Government made a legal complaint to YouTube.

One of these networks has a unique appearance in comparison to the others. I have highlighted it below in a red box. Zooming in on that constellation provides me with a series of Twitter accounts acting in a behaviour that is not normal in comparison to the other networks. In that network we can identify the individual accounts that are reacting with each other in this different manner.

I archived the account through the Wayback Machine. This bot was created in June Its purpose is to disseminate information attached to various hashtags about West Papua and the freedom movement. A simple Yandex reverse image search on the profile image shows this account is not genuine.

We can identify it is a bot as its followers and the accounts it is following match with the names in this network. All of the tweets are the same as the others, with the same tags. In the US, where the largest number of tweets still originate, the figure is just Twitter suits Indonesia for a number of reasons. For a start, mobile phones are cheap. There is already a strong sense of community. And English is widely spoken, particularly on the nation's most populous and tech-savvy island, Java.

Even for those who prefer to tweet in their native tongue, Bahasa Indonesia and other regional languages use an internet-friendly Roman script.