Library and Information Science
Research Topic
Language: English
This is a research topic created to provide authors with a place to attach new problem publications.
Research problems linked to this topic
- From what other sources can police enrich their own analytical data where it is legal and proportionate to do so?
- What emerging and external factors present a risk to the sector’s ability to develop effective solutions? What are the risks around Age Assurance technology and how might they be mitigated?
- What novel research approaches can be deployed to help effectively measure the impact of online harm beyond typical quantitative survey methods? How could these be used to measure the wider impacts of Online Safety Legislation?
- What are the economics underlying the spread of mis/disinformation (i.e., what is the scale and nature of the for profit mis/disinformation)?
- What are the empirical trends in previous technology adoption cycles, and to what extent can they be used as proxies to predict future trends and rates of adoption?
- What are the long-term outcomes of exposure to online mis/disinformation for the individual and society?
- What are the most appropriate models for improving access to location data held at both the national and local level that maintains sustainable access to the data?
- Are there different hierarchies, professional groups or user types and behaviours that aid or block cyber security implementation? How do we best understand this both quantitatively and qualitatively?
- How might the growth in innovative uses of location data impact public attitudes on the responsible use of location data, for example population movement data?
- How should enriched data produced from the fusion/linkage of multiple data sources be presented to users to enable rapid and effective decision making?
- What is the overlap between inauthentic content and mis/disinformation and, what role is inauthentic content playing in wider mis/disinformation narratives?
- What evaluation methods/ tools can be used to measure the impact of media literacy interventions on citizens' attitudes and behaviours online in a robust way?
- What methods for data fusion and linkage across datasets best retain the anonymity of identifiers?
- To what extent are the types and trends of harmful online mis/disinformation consistent between larger and smaller platforms?
- What are the most effective policies and approaches taken by platforms to counter disinformation?
- Which harmful online uses of AI are likely to increase? What could be the impact of AI-generated content on attitudes, beliefs, behaviours or psychological wellbeing?
- One expected impact of AI will be on trust in information. How might AI reduce public trust in information available online? Do UK citizens trust AI-generated online content?
- Changing world: How have evolutions in our statistical system (such as the greater focus on administrative sources for statistics) influenced how statistics are produced, used, and valued? How may advances in wider society (such as the increasing sophistication of large language models) influence how statistics are produced, used, and valued?
- How does mis/disinformation spread between social media platforms, particularly primary and secondary platforms? How can it be identified and contained?
- Interactions: How does the way that statistics are produced influence the value that users get from them, and how can this be addressed to maximise value? To what degree to statistics need to be directly used for them to provide value (or do people value outcomes from others using them instead)?
- How can we better understand the integrity (i.e. accuracy, completeness, and consistency) and use of Population Movement data?
- In what ways will AI exacerbate the spread of mis/disinformation and is mis/disinformation spread by AI likely to be more effective in influencing UK audiences?