Cat

After more than couple dozen hours of trying, here are the main takeaways:

1. I found a couple requests sent by my phone with my precise location + 5 requests that leak my IP address, which can be turned into geolocation using reverse DNS.
2. Learned a lot about the RTB (real-time bidding) auctions and OpenRTB protocol and was shocked by the amount and types of data sent with the bids to ad exchanges.
3. Gave up on the idea to buy my location data from a data broker or a tracking service, because I don't have a big enough company to take a trial or $10-50k to buy a huge database with the data of millions of people + me. Well maybe I do, but such expense seems a bit irrational. Turns out that EU-based peoples` data is almost the most expensive.

But still, I know my location data was collected and I know where to buy it!

Podcasts have established themselves in the digital media landscape as an integral part of information gathering and opinion formation for many users. The number of podcast users has stabilized at a high level in recent years. However, podcast producers, including podcast journalists, remain a largely unexplored group. This study focuses on podcast journalists and aims to identify the perceptions, motivations, and quality standards relating to their roles in podcasting. It is based on the results of an online survey of 378 podcast journalists from Germany, Austria, and Switzerland. Against a background of the concept of pioneer journalism, this article argues that podcast journalists are innovative contributors to the journalism ecosystem and have positioned themselves as new actors within the field. The findings of this study show that podcast journalists create, produce, and present journalistic content, for instance news or background stories, in the form of audio episodes, and see themselves as both educators and entertainers. They use the creative freedom of podcasting to engage deeply with their audiences and achieve high levels of listener loyalty. While financial gain is not their primary motivation, they have innovated new revenue models. They are committed to the quality of their content and emphasize comprehensibility and accuracy of information.

This study addresses public perception of the relationship between artificial intelligence (AI) and disinformation. The level of general awareness of AI is considered, and based on this, an analysis is carried out of whether it may favor the creation and distribution of false content or, conversely, the public perceive its potential to counteract information disorders. A survey has been conducted on a representative sample of the Andalusian population aged 15 and over (1550 people). The results show that over 90% of the population have heard of AI, although it is less well known among the eldest age group (78%). There is a consensus that AI helps to produce (86%) and distribute (84%) fake news. Descriptive analyses show no major differences by sex, age, social class, ideology, type of activity or size of municipality, although those less educated tend to mention these negative effects to a lesser extent. However, 54% of the population consider that it may help in combating hoaxes, with women, the lower class and the left wing having positive views. Logistic regressions broadly confirm these results, showing that education, ideology and social class are the most relevant factors when explaining opinions about the role of AI in disinformation.