Canada vs. US A Salary Analysis

For today's peeps, news is hella accessible, convenient, and like, lowkey 'free'. It's like, totally personalized and customized, ya know? The potential gains and vibes are major, and not always fully grasped, ya know? Koliska 2017, fam). OMG, like Google searches give you all the personalized recs, right? And Google News has this lit 'For You' thing where they hook you up with content that's totally tailored to your search and other history. It's so on point! The Facebook 'newsfeed' be mixin' posts by homies, advertisers, companies, and others in ways that are hella personalized for each user. And like, news aggregators like Pocket and Nuzzel, which let users customize their news feeds, use algorithms to personalize that customized content. But like, as I said before, the deets of the algorithmic techniques used by these platforms are usually not spilled to the public.

Filter bubbles and echo chambers, ya know?


There are like two main reasons why we use algorithmic techniques for news consumers: (1) to like sort through all the news content out there; and (2) to recommend news that users will actually read to keep them hooked on the platform (Thurman & Schifferes 2012, p. 776). As like, yo, this is all about gathering info on users, selling that info to advertisers to make bank12, and then serving up personalized news content using algorithms to keep users hooked. More user engagement = more $$$ for digital platforms, duh. The thing is, like, the constant chase for engagement doesn't always match up with the basic ideals of news as the fourth estate and the public interest, ya know? It's all in Chapter One, fam. Scholars have like totally argued that, like, digital platforms are all about hosting news that's, like, attention-grabbing AF. The public interest is like, so not even a thing. OMG, like Alice Marwick says: 'YouTube and Facebook don't even care what the content is, whether it's like, holocaust denial vids or makeup tutorials; they just wanna keep their viewers hooked on the platform' (Marwick 2018, p. 506). This process of modeling topic content and user preferences allows the NYT to provide personalized news recs. It's like, this thing lets you like, totally customize your online NYT news experience and get even better with more user interaction, ya know? Hybrid recommender systems, like the lit NYT recommendation engine, usually slay harder than just content-based and collaborative filtering, and they're getting hella popular on digital news platforms (Isinkaye, Folajimi & Ojokoh 2015, p. 269).

Customization


Related to the personalisation vibes of digital platforms and news media is the flex for consumers to customize their news feeds. Customisation, like, ya know, means changing up the sources, delivery, and how often ya get that digital news stuff for your own personal consumption. Customisation, like personalisation, is lowkey a vibe in response to how digital media has blown up the options for users to consume news content. OMG, like the explosion of digital devices, combined with the super fast news cycle, has created a bunch of options for news consumption. It's lit! This has like led some peeps to argue that there's, like, an abundance of news options, but now it's, like, totally been superseded by an overabundance of news options, you know? In 2007, Martin Moore, the director of the Media Standards Trust in the UK, was like, "Yo, the public be so bombarded and bewildered, fam" (Moore 2007). Like, in workshops held by the Centre for Media Transition in 2018, news consumers in Sydney and Tamworth were totally like "OMG, I feel so overwhelmed and bombarded by the news media landscape" (Fray, Molitorisz & Marshall 2018). nAgainst this lit backdrop, we've developed mad capacities to customize how, when, and where we consume news. Flexin'. OMG, social media is all about that customisation vibe, you know? Like, users totally pick their squad on Facebook and decide who they stan on Twitter. The tea found on Facebook and Twitter is like, mostly based on whatever is shared by the people you've friended and followed. OMG, consumers can also flex their settings on Google News, flex their settings on various news aggregators, and flex the news they consume on YouTube by subscribing to specific channels that stream news coverage. 

So lit! Yo, like, news orgs like The New York Times, Axios.com, and a bunch of Aussie sources let users get email newsletters that are all customized by topic. It's pretty dope, tbh. 


OMG, like social media totally made email newsletters seem so last decade, but now they're lowkey making a comeback (Smith and Page 2015; Fagerlund 2016; Park Et al. 2018). OMG, like for real, newsletters are so lit because they don't get messed up by those annoying search engine and social media algorithms, you know? (Fagerlund 2016; Smith & Page 2015). Thanks to these and other lit customisation capacities, individual consumers are now able to flex and make the sorts of curatorial decisions that used to be only for editors of old-school news outlets. One potential catch is that this shift to custom news consumption assumes like, you gotta be news literate n stuff (Powers 2017). That's like, people are expected to have the know-how and skills to make smart choices when it comes to consuming news that's like, totally in their favor. Like, with how easy it is for peeps to access content these days, it's like super important to be news literate. You gotta fact-check, make sure your sources are legit, and like, read from a bunch of different sources, ya know? Thx largely 2 tech innovation, the consumption of news is changing hella. Aussies be gobbling up news online more than offline, they're like totally hooked on gettin' news on their phones, and they're super reliant on social media and search engines (Park et al. 2018). The news game be blowin' up with mad pathways, ya know? But like, in the midst of all this flexin' and blowin' up, we still don't really get how people be livin' and spendin'. As Joelle Swart (2017) writes: 

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