Giving Voice: Mobile Communication, Disability, and Inequality

Meryl Alper

How communication technologies meant to empower people with speech disorders—to give voice to the voiceless—are still subject to disempowering structural inequalities. Mobile technologies are often hailed as a way to “give voice to the voiceless.” Behind the praise, though, are beliefs about technology as a gateway to opportunity and voice as a metaphor for agency and self-representation. In Giving Voice, Meryl Alper explores these assumptions by looking closely at one such case—the use of the Apple iPad and mobile app Proloquo2Go, which converts icons and text into synthetic speech, by children with disabilities (including autism and cerebral palsy) and their families. She finds that despite claims to empowerment, the hardware and software are still subject to disempowering structural inequalities.

TechnologyTechnology · medium confidenceTechnology81 signalsLlm Classifier: Technology -> TechnologyAward Category: PROSE Award for Media and Cultural Studies -> Journalism & ReportageKeyword Classifier: Technology -> TechnologyTechnology, Computing & AIClass, Poverty & InequalityDisability & DifferenceFamily, Childhood & Adoption
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    Despite claims that mobile speech technologies empower people with speech disorders by “giving voice,” the iPad and Proloquo2Go use embedded beliefs that reproduce structural inequalities and can disempower users.

    Model confidence 72%

  4. 04 Reading orientation

    70 / 100 academic

    Academic

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 84%.