Social media platforms such as Facebook, YouTube, and Twitter have millions of users logging in every day, using these platforms for commu nication, entertainment, and news consumption. These platforms adopt rules that determine how users communicate and thereby limit and shape public discourse.2 Platforms need to deal with large amounts of data generated every day. For example, as of October 2021, 4.55 billion social media users were ac tive on an average number of 6.7 platforms used each month per internet user.3 As a result, platforms were compelled to develop governance models and content moderation systems to deal with harmful and undesirable content, including disinformation. In this study: • ‘Content governance’ is defined as a set of processes, procedures, and systems that determine how a given platform plans, publishes, moder ates, and curates content. • ‘Content moderation’ is the organised practice of a social media plat form of pre-screening, removing, or labelling undesirable content to reduce the damage that inappropriate content can cause.
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Journalists in the 21st century are expected to work for different platforms, gather online information, become multi‐media professionals, and learn how to deal with amateur contributions. The business model of gathering, producing and distributing news changed rapidly. Producing content is not enough; moderation and curation are at least as important when it comes to working for digital platforms. There is a growing pressure on news organizations to produce more inexpensive content for digital platforms, resulting in new models of low‐cost or even free content production. Aggregation, either by humans or machines ‘finding’ news and re‐publishing it, is gaining importance. At so‐called ‘content farms’ freelancers, part‐timers and amateurs produce articles that are expected to end up high in web searches. Apart from this low‐pay model a no‐pay model emerged were bloggers write for no compensation at all. At the Huffington Post thousands of bloggers actually work for free. Other websites use similar models, sometimes offering writers a fixed price depending on the number of clicks a page gets. We analyse the background, the consequences for journalists and journalism and the implications for online news organizations. We investigate aggregation services and content farms and no‐pay or low‐pay news websites that mainly use bloggers for input.
Pedagogical content knowledge is found to be a crucial part of the knowledge base for teaching. Studies in the field of primary technology education showed that this domain of teacher knowledge is related to pupils' increased learning, motivation,and interest. The common methods to investigate teachers' pedagogical content knowledge are often complicated, and time and labour consuming. Hence, a challenge in measuring teachers' pedagogical content knowledge is to construct an instrument that is time and labour-efficient, and makes it possible to investigate large sample sizes. This paper illustrates how a multiple-choice test to measure teachers' pedagogical content knowledge in primary technology education was designed and validated. The procedure of test construction and the first results are presented. It is concluded that the systematic procedure that was followed is effective for the construction of a valid test. In addition, statistical analyses showed that test/re-test reliability is moderate. Data collection with larger samples is needed in order to find more statistical support for the psychometric properties of the test.
