In the era of unprecedented polarization, misinformation, and growing support for partisan violence and declining support for democratic norms (Lazer et al., 2018; Allcott & Gentzkow, 2017; Kalmoe & Mason, 2022; Graham & Svolik, 2020), most scholars and public observers focus on partisan media, fake news, and radical, harmful, or conspiratorial online content (e.g., Guess, Barber ́a, Munzert, & Yang, 2021; Tandoc Jr, Lim, & Ling, 2020; Enders et al., 2021). The drastically overlooked problem, which underlies the other challenges facing the U.S. and the globe, is that of very low consumption of quality news content among the population. Most people do not attend to news (Allen, Howland, Mobius, Rothschild, & Watts, 2020; Wojcieszak et al., 2021) and, if they do, they consume content that is sensationalist, click- baity, and mostly junk (Meta, 2022). Such low levels of quality news consumption lead to uninformed citizenry, voting misaligned with individual interests, and populace that is susceptible to misinformation and populist rhetoric (Bartels, 1996; Achen & Bartels, 2006; Fording & Schram, 2017). As such, incentivizing greater consumption of verified and quality news among citizens is pressing. This project aims to test computational interventions aimed at incentivizing citizen ex- posure to verified and quality news on social media. We test two complimentary approaches that could increase quality news consumption and – in so doing – also aim to disentangle two interrelated factors that may underlie low news consumption: biases in recommender sys- tems and the disinterest of individual citizens. Does increasing news consumption necessitate nudges to the recommender system or to users themselves? If low levels of news consump- tion are mostly due to algorithmic biases that reinforce users’ non-political interests (e.g., users who are not politically inclined are mostly recommended videos about sports, cars, or celebrities?; unintentional news avoidance; (Skovsgaard & Andersen, 2020)), then tweaking the algorithm in a way that encourages recommendations to quality news content could in- crease news consumption simply because more inventory would be available in users’ social media ecosystem. If however, it is the users’ political apathy, in that people are avoiding news because it is boring, negative, overly divisive, not reliable, or seen as too far removed from their daily lives (Skovsgaard & Andersen, 2020; Tsfati & Cappella, 2003; Palmer & Toff, 2020), reminding the users of the personal and democratic benefits of news consumption could encourage greater news exposure. We specifically focus on YouTube, which is one of the largest social media platforms, with 1.7 billion unique monthly visitors and 14.3 billion visits per month, more than Facebook, Wikipedia, Amazon and Instagram. YouTube is also the most popular platform in the US, used by 72% of the U.S. population (Walker & Matsa, 2022) and one of two, in addition to Reddit, that saw significant growth since 2019, with a steadily growing user base (Auxier & Anderson, 2022). However, only 30% of YouTube users get news regularly from the site (Walker & Matsa, 2022).