DEDIS becomes @bricklab_hhu 🥳! Stay tuned for tweets and information about the research by @ziegelem and Team: @HeinbachD @ankekat1000 @katifrehmann Lena Wilms and Marike Bormann 🤖💻.

Mehr Rationalität - weniger Inzivilität. Am 15.12. stellte @HeinbachD die Ergebnisse unserer Studie "Hallo liebe Community!" in Kooperation mit der @LFMNRW bei der #cmko22 des @hr in einer Podiumsdiskussion vor.

What do you want to know?.

RT @liqd_de: Heute präsentieren wir gemeinsam mit dem IPG und @HHU_de unser #KI-Projekt 🥳Derzeit läuft eine spannen….

RT @HeinbachD: Now on: @HenningHolec, Nico Bodden and Benjamin Hoss on the effects of deplatforming on the communication of the #extremerig….

It did however show that they cannot answer every question and partly give incomplete information, meaning that none of the assistants is a completely reliable source when it comes to information on COVID-19. (10/10).

Depending on which assistant the users ask, they may get a detailed and informative answer by Alexa or incomplete information by Google Assistant. Overall, the study did not find any explicitly false information given by the voice assistants. (9/10).

To grade the quality of voice assistants as information sources, the fully spoken answers to two basic questions were compared to facts by the WHO and other health sources. Results showed significant differences between the three assistants. (8/10).

The three assistants also relied on different answer strategies that ranged from displayed web search results to fully spoken answers. (7/10).

Google Assistant gave most answers, followed by Siri and Alexa. Alarmingly, questions concerning COVID-19 misinformation elicited the least answers. (6/10).

and examines which questions they could answer (1), how they responded (2) and of what quality the answers were (3). Results show that most questions were answered with a fitting response, but 36% could only be answered with a general answer on COVID-19 or not at all. (5/10).

To fill the current research gap concerning the answers to questions specifically about COVID-19 this study “interviews” the three most common voice assistants in Germany (Alexa, Google Assistant and Siri) about the novel virus.(4/10).

Medical research already concluded that voice assistants’ answers on various health topics show “quality deficits” and often don’t give the source of their information, which makes them non-transparent. (3/10).

But how reliable are the answers of voice assistants to such sensible topics? @katifrehmann, @ziegelem and Ulrich Rosar conducted a content analysis and published a new article in “Studies in Communication and Media” to answer this question. (2/10).

New Publication 🥳.The relevance of voice assistants increased vastly over the last few years. People tend to use them for assistance tasks, but also to gain information on current situations. In early 2020 this lead to many questions concerning COVID-19. (1/10).

RT @diid_hhu: "What do you need from algorithmic transparency?" Our very own @fraulena2006 Katharina Gerl @ziegelem @ankekat1000, @bricklab….

RT @scm_editor: Alexa, Siri or Google – which voice assistant provided better answers at the beginning of the COVID-19 pandemic? Our own SC….

a higher unwillingness to get vaccinated. The results concerning the general belief in Covid-19 conspiracy theories can be transferred to other conspiracy theories. (7/7).

flourish were most strongly associated with people‘s beliefin Covid-19 conspiracy theories. Regarding the association between belief in Covid-19 conspiracy theories and vaccination intentions the data shows that a (strong) belief in those theories indeed correlates with (6/7)

The results of a representative CATI survey in Germany showed differentiated associations between these factors and people’s belief in Covid-19 conspiracy theories. Perceived deprivation, far-right ideology, and the consumption of news sources where alternative news (5/7).

in Covid-19 conspiracy theories, including education, perceived deprivation, far-right political ideology, and the consumption of alternative news media. And 2: to analyse how this belief is associated with people’s vaccination intentions. (4/7).

to get vaccinated. But who is most endangered to believe in these theories and how does it actually affect the decision to get vaccinated or not?.The study aimed to 1: investigate associations between socioeconomic, political, and media-related factors and people’s belief (3/7).