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The nuclear purpose of this research paper is to analyse representative bridges around the world as a tourist attraction and iconic element through destination marketing organisations’ (DMOs’) tourism official websites where these are localised and three online travel agencies’ (OTAs’) websites.

This research used a mixed method. The author carried out Google research (13 March 2023) that included the following search word string “iconic bridges around the world” and “the most famous bridges worldwide” to select the most relevant bridges around the globe. Moreover, this research used a content analysis to examine how Expedia, Booking and Orbitz OTAs promote the bridges through their websites in terms of a tourist attraction, iconic element, tourist package, images and information.

Findings suggest that the most representative bridges analysed in this study are promoted as iconic element and tourist attraction through DMOs’ websites. Nevertheless, Booking, Expedia and Orbitz OTAs promote and sell products and services related to bridges selected, except in the case of the Millau Viaduct in France, the Si-O-Se-Pol bridge in Iran, the Danyang Kunshan Grand bridge in China and the Royal Gorge in the USA. Furthermore, results support that OTAs need to enhance the quality and variety of products and services that are linked to iconic bridges sightseeing tours because at the moment, there is a great uniformity in the promotion of products and services provided.

This paper contributes to broader debates in the importance of bridges as a tourist attraction and iconic element to attract tourists through tourism promotion websites.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.