Testing the Limits of Net Neutrality Rules

In the past few weeks we’ve seen both a wireless and wireline carrier launch new “zero rating” video streaming services that test the boundaries of the FCC’s net neutrality policy: T-Mobile’s Binge On and Comcast’s Stream TV.

According to published reports, FCC chairman Tom Wheeler has praised Binge On as “highly innovative” and “highly competitive,” while also noting that the Commission will continue to monitor the service under its “general conduct” rule. According to Ars Technica, an FCC spokesperson declined comment on Comcast’s Stream TV, which does not count against the company’s data caps.

The FCC’s reported response to the two services is not too surprising. While they share some similarities, they are also different in key respects. Among the differences that come initially to mind are:

Comcast is major owner of content, whereas T-Mobile is not.
Comcast is exempting only its own video streaming service from counting against its monthly data cap, whereas T-Mobile’s Binge On includes a range of streaming video services, with eligibility apparently open to all comers subject to technical requirements (for some reason, YouTube, one of the largest providers of online video, is currently not included in Binge On).
Comcast is the largest and most vertically integrated player in the wireline access market and in some local markets enjoys near-monopoly market power when it comes to very high speed connectivity; in contrast, T-Mobile is far smaller than the two dominant players in a wireless market with significantly more options typically available than in the wireline market.
In addition to net neutrality-related requirements applied to all ISPs, Comcast is subject to company-specific restrictions on anti-competitive behavior related to its 2011 acquisition of NBC Universal.
Comcast claims that Stream TV is a “cable video service” rather than a “cable Internet service,” an argument that, if accepted by the FCC and/or the Courts, could effectively exempt it from the Commission’s net neutrality rules.

In a blog post, Public Knowledge senior staff attorney John Bergmayer argues that Stream TV is subject to and violates the FCC’s Open Internet order as well as the consent decree Comcast agreed to as part of its NBC Universal acquisition. I’d recommend reading the post in full for anyone wanting a preview of legal arguments to be made in more formal channels by Public Knowledge and others likely to challenge Stream TV before the FCC and the courts.

According to Bergmayer:

Comcast maintains that “Stream TV is a cable streaming service delivered over Comcast’s cable system, not over the Internet.” But Stream TV is being delivered to Comcast broadband customers over their broadband connections, and is accessible on Internet-connected devices (that is, not just through a cable box). From a user’s perspective, it is identical to any other Internet service. Comcast’s argument is that if it offers its service only to Comcast customers and locates the servers that provide Stream TV on its own property, connected to its own network, that this exempts it from the Open Internet rules. This is an absurd position that would permit Comcast to discriminate in favor of any of its own services, and flies in the face of the Open Internet rules…

[I]t does not appear that Stream TV is an IP service like facilities-based VoIP. It is not available standalone; you need a broadband Internet access connection to access it. It is thus readily distinguishable from services like facilities-based VoIP. If Comcast offered Stream TV separately from broadband there would be a better case that it was more like traditional cable TV or a specialized service–but it does not.

Bergmayer also reviews some relevant language from Comcast’s NBC Universal consent decree, including:

“Comcast shall not offer a Specialized Service that is substantially or entirely comprised of Defendants’ affiliated content,” and…”[if] Comcast offers any Specialized Service that makes content from one or more third parties available … [it] shall allow any other comparable Person to be included in a similar Specialized Service on a nondiscriminatory basis.”

In an article in Multichannel News, Jeff Baumgartner previews what may be a core element of Comcast’s legal argument defending Stream TV:

“Stream TV is an in-home IP-cable service delivered over Comcast’s cable network, not over the public Internet,” Comcast said in a statement issued Thursday, the same day it launched Stream TV to its second market – Chicago. “IP-cable is not an ‘over-the-top’ streaming video service. Stream enables customers to enjoy their cable TV service on mobile devices in the home delivered over the managed cable network, without the need for additional equipment, like a traditional set-top-box.”

The FCC does address the idea in rules released in December 2014, which explain that “an entity that delivers cable services via IP is a cable operator to the extent it delivers those services as managed video services over its own facilities and within its footprint…IP-based service provided by a cable operator over its facilities and within its footprint must be regulated as a cable service not only because it is compelled by the statutory definitions; it is also good policy, as it ensures that cable operators will continue to be subject to the pro-competitive, consumer-focused regulations that apply to cable even if they provide their services via IP.”

In his blog post Bergmayer cites language from the Commission’s Open Internet order related to the provision of “Non-Broadband Internet Access Service Data Services.” In my view, a key sentence in that section of the order is “The Commission expressly reserves the authority to take action if a service is, in fact, providing the functional equivalent of broadband Internet access service or is being used to evade the open Internet rules.” On the face of it, I’m inclined to agree with Bergmayer that this appears to be the case with Comcast’s Stream TV, when coupled with its data cap policies and the reality of Comcast’s multifaceted market power in both distribution and content.

And, more generally, I think Bergmayer is correct that “Comcast’s program raises a host of issues under the Open Internet rules, the consent decree, and—most importantly—general principles of competition.”

The fact that Comcast is testing the bounds of the Commission’s new rules is not surprising, given its focus on maximizing shareholder value within a set of interrelated and dynamic markets in which it enjoys substantial market power, but faces significant challenges to its traditional revenue streams and growth prospects. In fact, I view it as helpful that Comcast is moving fairly quickly in this direction, since it is likely to force the FCC and the Courts to revisit yet again the question of how to craft communication policy that serves the public interest in the Internet age.

And, with the Commission having classified broadband access as a Title II service, my hope is that any court review of FCC action responding to Stream TV or similar services will consider substantive policy arguments (e.g., related to competition and the public interest) rather than simply ruling that the Commission cannot impose net neutrality rules absent a Title II classification of broadband access (which seemed to be the central message of the most recent DC Circuit Court ruling).

We are clearly moving into a world where the central element of our once heavily (and often clumsily) siloed communication infrastructure and policy (and arguably our economy and society as a whole) is IP connectivity. Though some believe the FCC has outlived its usefulness in that world, my own preference—at least for now—is that the Commission retain sufficient tools and authority to continue serving as the specialized regulatory agency responsible for setting ground rules that help ensure that the public interest is well served during and after this historic and vitally important transition from yesterday’s communication technology and industry structure to tomorrow’s.

Primary takeaways

Digital inequality shows larger impacts on youth academic performance as compared to time spent on screens.
Digital skills play a significant role in mediating unstructured online engagement (social media use, playing video games, browsing the web) and youth academic, social, and psychosocial development.
Unstructured online engagement and face-to-face social interaction are complementary and continuously interact to create and enhance youth capital outcomes.

A familiar story: concerns of screen time

Today’s discussions of adolescent well-being have coalesced around a clear narrative: teenagers spend too much time online, and their academic performance, mental health, and social lives are deteriorating as a result. A steady stream of academic papers, books, and op-eds, alongside a growing number of policy proposals––school phone bans, age-gated social media use, restrictive screen-time limits––rest on the same underlying claim, aligning with a contemporary, digitized version of the displacement hypothesis:

Screen time, particularly the unstructured, free-time spent on social media, gaming, watching video content, or browsing the web, is said to displace the productive face-to-face activities that build adolescents into capable adults.

The implied and often practiced solution is restriction. In response, this dissertation tested this claim directly, and placed it within the broader context of adolescence.

Across three years, I followed 653 Michigan adolescents from early through late adolescence: in grades 8 or 9 (survey one, 2019) to grades 11 or 12 (survey two, 2022). Notably, these students, studied over time, were part of a broader pooled sample of 5,825 students across the same eighteen highschools. The study window captured the year before and the year after the peak of the COVID-19 pandemic and related lockdown orders, functioning as an unprecedented stress test for theories of adolescent social, academic, and digital life and, importantly, as a benchmark to compare the effects of pandemic-related change and inequality to those effects from screen time alone.

Across four studies of adolescents, consisting of six cross-sectional and longitudinal analyses, findings are not consistent with the displacement narrative, nor the broader concerns about the time youth spend on screens.

Findings are, however, consistent with something the current public and (most) academic discussions have largely overlooked or ignored: the gaps and inequalities that determine whether adolescents can access and use the internet meaningfully in the first place.

What the displacement hypothesis overlooks

Displacement and related research and policy concerning the time young people spend online assumes a “zero-sum” model of adolescent day-to-day time. An hour online is an hour not spent studying, reading, sleeping, or interacting face-to-face (i.e., time spent on more productive or developmentally “better” activity).

Indeed, this makes sense logically. However, as an empirical claim, this model requires time spent online to behave differently from all other ways adolescents allocate time; it must produce uniquely negative outcomes and be inherently harmful across digital contexts, rather than the typical mix of trade-offs corresponding to, and often overlooked among any other social or developmental context.

Yet, online time does not differ from other youth activity. Instead, I find it has a mix of pros, cons, and even some “uniquely digital” benefits which youth utilize for social and academic gains. When I compared unstructured digital media use against traditional face-to-face interaction and activities, both produced similar patterns: some negative associations with academic outcomes, some null, and some positive.

Trade-offs within traditional face-to-face activity (for example, social time with friends and family, or time spent in after-school extracurriculars) are treated as ordinary developmental experiences that must be experienced for the betterment of development. The identical trade-offs involving digital time tend to be overlooked or ignored, and online engagement is perceived as altogether harmful.

A growing body of evidence, including this dissertation, do not support that distinction. Indeed, the developmental context is routinely misread, leaving out the context of the experiences and time spent on digital, as well as face-to-face activities, interactions, existing inequalities, and changes inherent to development. As such, I proposed a novel framework to understand these contexts:

Digital capital exchange

Rather than treating screen time as a unified harm, this dissertation advances an “exchange”-based framework, grounded in James Coleman’s theories of youth capital and digital inequality scholarship, particularly following Eszter Hargittai, Jan van Dijk, and Alexander van Deursen (see this list of all dissertation references for full works).

The core proposition is that adolescents’ online engagement is not an alternative to developmental activity but another, albiet modern domain through which young people accumulate and mobilize online resources––particularly digital skills––that work alongside existing social networks and experiences to be exchanged for human capital (measured as: academic achievement, aspirations, STEM interest) and social capital (peer networks, community participation, extracurricular involvement).

Online time is not the mechanism; instead, it is digital skills that I find to be the most vital component in youth capital exchange and enhancement. Unstructured online engagement contributes to online skills; those skills, accumulated and mobilized alongside existing peer, family, and community networks, translate into the outcomes researchers and parents care about, i.e., academic achievement, aspirations, and face-to-face interaction and social networks.

This digital capital framework treats online and in-person contexts as complementary rather than antagonistic, and it situates adolescents’ digital lives within the structural conditions––connectivity quality, device reliability, autonomy of use––that determine whether exchange can occur at all.

Methods (in brief)

Paper-and-pencil surveys were administered to students in classrooms at two time-points: spring 2019 (N=2,876) and spring 2022 (N=2,949), across the same eighteen predominantly rural Michigan schools, grades 8–12. Official, nationally-ranked standardized reading, writing, and math test scores (PSAT 8/9, PSAT 10, SAT; College Board) were then anonymously linked to students’ survey responses with the help of participating districts.

Cross-sectional path analyses modeled pooled and wave-specific samples (pooled N=5,825); two-wave cross-lagged panel models tested reciprocal, longitudinal relationships on the 653 students who completed both surveys. Multi-group analyses of the cross-lagged panel models compared relationships between girls (N=345) and boys (N=308). All longitudinal models included time-invariant socioeconomic covariates as well as time-varying covariates to reduce omitted-variable bias.

Key findings: an overview

To summarize, to the best of my ability, eight chapters across 376 pages, I present two primary findings:

First: digital inequality predicted larger and more consistent declines in human capital than screen time did.

Unreliable home internet and technology maintenance problems––experiencing and/or dealing with broken or outdated devices and software, restrictive school-issued hardware, issues with connecting to or maintaining internet access––decreased youth GPA and standardized test achievement. And, these effect sizes were substantially larger than any negative direct effect from unstructured digital media use.

Across all four empirical studies, digital inequality emerged as the most substantial predictor of academic and developmental decline.

Second: digital skills mediated the relationship between online time and adolescent academic and social outcomes.

Unstructured digital media use, particularly online gaming and web browsing, predicted higher internet and social media skills for adolescents, which in turn predicted stronger academic achievement and self-efficacy (human capital), and social interaction and extracurricular participation (social capital). The positive indirect effect of screen time through skills offset or exceeded any small negative direct effects across several outcomes (supporting our existing peer-reviewed work: Hales & Hampton, 2025, and which you can read more about here).

These exchange processes were amplified when peer and family networks were modeled alongside digital skills, consistent with the premise that online and offline contexts operate together rather than in competition. The effect was not universal: social media skills amplified rather than offset a negative association with consistency of interest, one of the two subscales of grit. The exchange framework describes a contextual and conditional, domain-specific mechanism, not a blanket defense of time spent online.

Implications

If digital inequality, and not screen time, is the primary predictor of adolescent academic and developmental decline, and still warrants concern regarding access quality and experience even with the broader adoption of digital devices across the United States, the current policy emphasis on restriction is pointed at the wrong target. The evidence supports a different set of priorities.

Stable, reliable home (fast) broadband should be treated as an educational prerequisite rather than a consumer amenity. Unreliable connectivity exerted larger downward pressure on human capital than any measure of screen time, and that pressure intensified during the pandemic-era reliance on digital infrastructure. Technology maintenance, device repair, replacement, technical support, and the flexibility to install software and explore the web autonomously, matters as much as initial access, and school-issued devices that restrict autonomous use appear to hinder skill accumulation rather than support it.

Restrictive parental mediation of internet use was negatively associated with grit and self-efficacy at magnitudes comparable to the positive contributions of face-to-face activity. This challenges the assumption that digital restriction functions protectively. Instructive mediation, teaching adolescents to verify information, navigate platforms critically, and mobilize online resources toward meaningful ends, is the posture the data supports.

Finally, the technical skill-building that occurs through gaming, self-directed exploration, and deep web use is skill-building, not wasted time. Closing the persistent gender gap in these domains likely requires legitimizing technical play for girls, rather than restricting it for everyone.

None of the above is an argument that screen time is benign. It is an argument that screen time is the wrong focus, particularly when studied mostly in isolation. Context matters substantially, whether that is time spent on other activities during adolescence, the period of adolescence itself, digital inequality, resources gained from such online use, and how all such factors interact. The factor that predicts whether a given adolescent can convert online engagement into capital outcomes is structural: access, infrastructure, skills, and the autonomy to use them. These factors are distributed unevenly, and its uneven distribution, not hours logged, is what separates adolescents who thrive from those who fall behind.

The full dissertation is available through Michigan State University’s ProQuest archive, or see the embedded full-text PDF below. I’m happy to share papers, preprints, or the underlying framework with anyone interested and working in this area––don’t hesitate to reach out via my contact form. Thanks for reading.

Tags: Comcast FCC network neutrality T-Mobile Title II

Testing the Limits of Net Neutrality Rules