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This 45-minute podcast is a result of qualitative research which aims to identify if we should be concerned that news recommender systems may have an impact on our personal identities over time. Ind sets out to achieve a number of objectives. 1. To understand how news recommender systems influence the way of seeing and experiencing the world in which we anchor our identities 2. To examine the extent to which news recommendations are transforming and shaping our preferences and behaviours 3. To determine if we should be concerned about personal data privacy, as news recommendations technology collects our personal data to create algorithmically generated news recommendations 4. To explore if we think that personalised news recommendations can serve to sharpen our focus and broaden our minds in parallel The Impact of News Recommender Systems on our Personal Identity is licensed under a Creative Commons License.
News recommender systems, Personal Identity, Algorithmically driven recommendations
News recommender systems, Personal Identity, Algorithmically driven recommendations
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

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