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Artikel ; Online: Exploring Food Consumption Trends on Twitter with Social Media Analytics: The Example of #Veganuary

Drescher, Larissa S. / Grebitus, Carola / Roosen, Jutta

EuroChoices. 2023 Aug., v. 22, no. 2 p.45-52

2023

Abstract: Using the example of the hashtag #veganuary, a neologism of vegan and January, on Twitter with over 52,000 tweets from 2022, this article shows how Social Media Analytics can provide valuable insights into timing, volume and sentiment within any emerging ...

Abstract	Using the example of the hashtag #veganuary, a neologism of vegan and January, on Twitter with over 52,000 tweets from 2022, this article shows how Social Media Analytics can provide valuable insights into timing, volume and sentiment within any emerging (consumer) trend. Social Media Analytics is increasingly being used for the analysis of Social Media data. Whether consumers, politicians or entrepreneurs, all stakeholders in the food value chain are present on Social Media and talk about various trends in food and agriculture. In the form of an overview article, this contribution uses the example of the Vegan Challenge to demonstrate how a combination of the manifold methods of Social Media Analytics can provide extensive insights into the public discourse on food topics. It shows that #veganuary communication on Twitter has a predominantly positive connotation in the discussion of all stakeholders involved. The Vegan Challenge can also be categorised as a strong marketing campaign with a competitive character. #veganuary is commonly discussed on Twitter in tweets related to topics, such as veganism and the climate crisis. We argue that Social Media Analytics usefully extends classical analytical tools of consumer research on emerging and spreading food trends, and offers opportunities for many research studies.
Schlagwörter	climate ; food consumption ; nutritive value ; stakeholders ; supply chain ; vegan diet
Sprache	Englisch
Erscheinungsverlauf	2023-08
Umfang	p. 45-52.
Erscheinungsort	John Wiley & Sons, Ltd
Dokumenttyp	Artikel ; Online
Anmerkung	JOURNAL ARTICLE
ZDB-ID	2221925-0
ISSN	1746-692X ; 1478-0917
ISSN (online)	1746-692X
ISSN	1478-0917
DOI	10.1111/1746-692X.12403
Datenquelle	NAL Katalog (AGRICOLA)

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Artikel ; Online: Emotionalität in der COVID-19-Krisenkommunikation von Behörden und unabhängigen Expert*innen auf Twitter : Eine Sentiment-Analyse für das erste Pandemiejahr.

Drescher, Larissa S / Roosen, Jutta / Aue, Katja / Dressel, Kerstin / Schär, Wiebke / Götz, Anne

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz

2023 Band 66, Heft 6, Seite(n) 689–699

Abstract: Background: At the beginning of the COVID‑19 pandemic in Germany, there was great uncertainty among the population and among those responsible for crisis communication. A substantial part of the communication from experts and the responsible authorities ...

Titelübersetzung	Sentiments in the COVID-19 crisis communication of German authorities and independent experts on Twitter : A sentiment analysis for the first year of the pandemic.
Abstract	Background: At the beginning of the COVID‑19 pandemic in Germany, there was great uncertainty among the population and among those responsible for crisis communication. A substantial part of the communication from experts and the responsible authorities took place on social media, especially on Twitter. The positive, negative, and neutral sentiments (emotions) conveyed there during crisis communication have not yet been comparatively studied for Germany. Study aim: Sentiments in Twitter messages from various (health) authorities and independent experts on COVID‑19 will be evaluated for the first pandemic year (1 January 2020 to 15 January 2021) to provide a knowledge base for improving future crisis communication. Material and methods: From n = 39 Twitter actors (21 authorities and 18 experts), n = 8251 tweets were included in the analysis. The sentiment analysis was done using the so-called lexicon approach, a method within the social media analytics framework to detect sentiments. Descriptive statistics were calculated to determine, among other things, the average polarity of sentiments and the frequencies of positive and negative words in the three phases of the pandemic. Results and discussion: The development of emotionality in COVID‑19 tweets and the number of new infections in Germany run roughly parallel. The analysis shows that the polarity of sentiments is negative on average for both groups of actors. Experts tweet significantly more negatively about COVID‑19 than authorities during the study period. Authorities communicate close to the neutrality line in the second phase, that is, neither distinctly positive nor negative.
Mesh-Begriff(e)	Humans ; COVID-19/epidemiology ; Pandemics ; Sentiment Analysis ; Social Media ; Germany ; Communication ; Attitude
Sprache	Deutsch
Erscheinungsdatum	2023-05-16
Erscheinungsland	Germany
Dokumenttyp	English Abstract ; Journal Article
ZDB-ID	1461973-8
ISSN	1437-1588 ; 1436-9990
ISSN (online)	1437-1588
ISSN	1436-9990
DOI	10.1007/s00103-023-03699-z
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis.

Drescher, Larissa S / Roosen, Jutta / Aue, Katja / Dressel, Kerstin / Schär, Wiebke / Götz, Anne

JMIR public health and surveillance

2021 Band 7, Heft 12, Seite(n) e31834

Abstract: Background: The COVID-19 pandemic led to the necessity of immediate crisis communication by public health authorities. In Germany, as in many other countries, people choose social media, including Twitter, to obtain real-time information and ... ...

Abstract	Background: The COVID-19 pandemic led to the necessity of immediate crisis communication by public health authorities. In Germany, as in many other countries, people choose social media, including Twitter, to obtain real-time information and understanding of the pandemic and its consequences. Next to authorities, experts such as virologists and science communicators were very prominent at the beginning of German Twitter COVID-19 crisis communication. Objective: The aim of this study was to detect similarities and differences between public authorities and individual experts in COVID-19 crisis communication on Twitter during the first year of the pandemic. Methods: Descriptive analysis and quantitative content analysis were carried out on 8251 original tweets posted from January 1, 2020, to January 15, 2021. COVID-19-related tweets of 21 authorities and 18 experts were categorized into structural, content, and style components. Negative binomial regressions were performed to evaluate tweet spread measured by the retweet and like counts of COVID-19-related tweets. Results: Descriptive statistics revealed that authorities and experts increasingly tweeted about COVID-19 over the period under study. Two experts and one authority were responsible for 70.26% (544,418/774,865) of all retweets, thus representing COVID-19 influencers. Altogether, COVID-19 tweets by experts reached a 7-fold higher rate of retweeting (t Conclusions: Twitter data are a powerful information source and suitable for crisis communication in Germany. COVID-19 tweet activity mirrors the development of COVID-19 cases in Germany. Twitter users retweet and like communications regarding COVID-19 by experts more than those delivered by authorities. Tweets have higher coverage for both authorities and experts when they are plain and for authorities when they directly address people. For authorities, it appears that it was difficult to win recognition during COVID-19. For all stakeholders studied, the association between number of followers and number of retweets was highly significantly positive (authorities Z=28.74, P<.001; experts Z=25.99, P<.001). Updated standards might be required for successful crisis communication by authorities.
Mesh-Begriff(e)	COVID-19 ; Communication ; Humans ; Pandemics ; SARS-CoV-2 ; Social Media
Sprache	Englisch
Erscheinungsdatum	2021-12-22
Erscheinungsland	Canada
Dokumenttyp	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2369-2960
ISSN (online)	2369-2960
DOI	10.2196/31834
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

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Artikel ; Online: A cohort analysis of food-at-home and food-away-from-home expenditures in Germany

Drescher, Larissa S / Roosen, Jutta

German journal of agricultural economics : GJAE Vol. 62, No. 1 , p. 39-51

Eine @Kohortenanalyse des Inner- und Außer-Haus-Verzehrs in Deutschland

2013 Band 62, Heft 1, Seite(n) 39–51

Verfasserangabe	Larissa S. Drescher and Jutta Roosen
Schlagwörter	Konsumentenverhalten ; Kohortenanalyse ; Deutschland
Sprache	Englisch
Umfang	Online-Ressource, graph. Darst.
Verlag	Deutscher Fachverl
Erscheinungsort	Frankfurt, Main
Dokumenttyp	Artikel ; Online
Anmerkung	IMD-Felder maschinell generiert
ZDB-ID	2535268-4
ISSN	2191-4028
Datenquelle	ECONomics Information System

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Konferenzbeitrag ; Online: Food Choices under Stress

Drescher, Larissa S. / Hasselbach, Johanna

Considering Internet Usage and Social Support

2014

Abstract: It is a known fact that stress negatively affects food choices. Consequentially, this paper analyzes three different research questions using a sample of 330 international students in Germany. Firstly, it is observed if stress affects students’ ... ...

Abstract	It is a known fact that stress negatively affects food choices. Consequentially, this paper analyzes three different research questions using a sample of 330 international students in Germany. Firstly, it is observed if stress affects students’ motivations to eat, i.e. if it triggers changes in the motivation behind food choices. Results show that this is not the case. Secondly, it is tested if social support acts as a buffer on the relationship between stress and healthy eating, similarly to the model proposed by Lakey and Cohen (2000), where social support buffers the negative consequences of stress on health. Specifically, it is tested whether social support affects Internet usage and subsequently if Internet usage is a coping strategy and eases the negative consequences of stress on healthy eating. Taking into account that there is no effect of social support on Internet usage and since Internet usage does not moderate the relationship between stress and healthy eating, the paper continues to show that instead social support is a moderator for the relationship between stress and healthy eating. Interestingly however, Internet usage has a direct and positive relationship with healthy eating, i.e. the more the Internet is used the healthier do students eat. Thirdly, the paper elaborates on the question if students in Germany use the Internet as an information source for diet and health related problems for example on social media sites and additionally if the use of this information did change their dietary behavior. Results show that people with high dietary information search tendencies are 1.76 times more likely to change their diets due to the information found online. The results of this study are important for public policy measures dealing with student health.
Schlagwörter	Stress ; healthy eating ; Food Choice Motives ; Internet usage ; social support ; comfort eating ; Consumer/Household Economics ; Food Consumption/Nutrition/Food Safety ; Health Economics and Policy
Thema/Rubrik (Code)	300
Sprache	Englisch
Erscheinungsland	us
Dokumenttyp	Konferenzbeitrag ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Buch: Comparing predictors of diet quality in Canada over time under consideration of altering food guides

Drescher, Larissa S

(Staff paper ; #08-01)

2008

Verfasserangabe	Larissa S. Drescher and Ellen Goddard
Serientitel	Staff paper ; #08-01
Schlagwörter	Diet
Sprache	Englisch
Umfang	25 p. :, ill. ;, 28 cm.
Verlag	Dept. of Rural Economy, Faculty of Agricultural, Life & Environmental Sciences, University of Alberta
Erscheinungsort	Edmonton, Canada
Dokumenttyp	Buch
Datenquelle	NAL Katalog (AGRICOLA)

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Artikel: The effects of traffic lights labels and involvement on consumer choices for food and finanical products

Drescher, Larissa S / Marette, Stéphan / Roosen, Jutta

International journal of consumer studies Vol. 38, No. 3 , p. 217-227

2014 Band 38, Heft 3, Seite(n) 217–227

Verfasserangabe	Larissa S. Drescher, Jutta Roosen and Stéphan Marette
Schlagwörter	Financial products ; food products ; involvement ; product choice ; traffic light ; labelling ; willingness to pay
Sprache	Englisch
Umfang	graph. Darst.
Verlag	Blackwell Science
Erscheinungsort	Oxford [u.a.]
Dokumenttyp	Artikel
ZDB-ID	2045189-1
ISSN	1470-6423
ISSN	1470-6423
Datenquelle	ECONomics Information System

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Artikel: The effects of traffic light labels and involvement on consumer choices for food and financial products

Drescher, Larissa S / Roosen, Jutta / Marette, Stéphan

International journal of consumer studies. 2014 May, v. 38, no. 3

2014

Abstract: Traffic light (TL) labels that inform consumers regarding product safety have received increasing attention in different fields. Behind the background of behavioural economics, this paper presents the results of a split‐sample choice experiment conducted ...

Abstract	Traffic light (TL) labels that inform consumers regarding product safety have received increasing attention in different fields. Behind the background of behavioural economics, this paper presents the results of a split‐sample choice experiment conducted in Germany to evaluate the impact of TL labelling on purchases of food and financial products. We hypothesize that consumers experience different levels of involvement with these two types of products, leading to different recommendations regarding the use of TLs. The results show that TLs affect consumer purchases of both product groups by focusing their attention on specific product attributes. For food, whereas the low‐fat attribute has no significant impact on food choices that do not include TLs, this attribute has a positive impact on choices once it is signalled with a TL label. The positive evaluation of the organic production attribute of a food product without a TL decreases when the same product is labelled with a TL. In the case of financial products, TLs significantly reinforce the impact of all characteristics on choice probability. TLs also generate a halo effect with regard to return variance. Although consumers demonstrate different levels of involvement for the two types of products, involvement does not always impact the evaluation of attributes. Compared with less involved consumers, more involved consumers exhibit more heterogeneous evaluations of the return variability attribute in the case of the financial product and the organic attribute in the case of the food product.
Schlagwörter	consumer preferences ; food choices ; foods ; organic production ; probability ; product safety ; variance ; Germany
Sprache	Englisch
Erscheinungsverlauf	2014-05
Umfang	p. 217-227.
Erscheinungsort	Blackwell Science
Dokumenttyp	Artikel
ZDB-ID	2045189-1
ISSN	1470-6423
ISSN	1470-6423
DOI	10.1111/ijcs.12086
Datenquelle	NAL Katalog (AGRICOLA)

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Artikel ; Online: A Cohort Analysis of Food-at-Home and Food-away-from-Home Expenditures in Germany ; Eine Kohortenanalyse des Inner- und Außer-Haus-Verzehrs in Deutschland

Drescher, Larissa S. / Roosen, Jutta

2013

Abstract: Over the last decades and across countries, eating patterns have changed in favour of increasing consumption of food away from home. According to Ando and Modigliani (1957), consumers pass through different stages of a life-cycle with different impacts ... ...

Abstract	Over the last decades and across countries, eating patterns have changed in favour of increasing consumption of food away from home. According to Ando and Modigliani (1957), consumers pass through different stages of a life-cycle with different impacts on demand. The criticism that life-cycle theory neglects generational effects and concentrates only on ageing effects has led to the application of the cohort analysis, which decomposes not only age, but also period and cohort effects. This paper presents the results of a cohort analysis on food-at-home and food-away-fromhome consumption covering 25 years of German consumption data. The results of seemingly unrelated regressions indicate that there are significant age, period and cohort effects on food-at-home and foodaway- from-home expenditures, which are more distinct for food-at-home consumption. This paper also finds evidence for the significant effects of gender, occupation, household composition and region on both expenditure categories. For instance, the effect of being female is negative on both types of expenditures. Moreover, there is a non-linear relationship between household size and both food-at-home and food-away-from-home-consumption. Über Jahrzehnte und Länder hinweg haben sich die Ernährungsgewohnheiten der Verbraucher in Richtung einer Zunahme des Außer-Haus-Verzehrs verändert. Nach Ando und Modigliani (1957) durchlaufen Konsumenten verschiedene Stufen eines Lebenszyklus‘ mit unterschiedlichen Auswirkungen auf die Nachfrage. Da die Lebenszyklustheorie nur Alterseffekte berücksichtigt, wird die Kohortenanalyse eingesetzt, die neben Alterseffekten auch Zeit- und Kohorteneffekte einbezieht. Dieses Papier präsentiert die Ergebnisse einer Kohortenanalyse des Inner- und Außer-Haus- Verzehrs basierend auf 25 Jahre umfassenden Verbrauchsdaten aus Deutschland. Ergebnisse von SURRegressionen zeigen, dass signifikante Alters-, Zeitund Kohorteneffekte des Inner- und des Außer-Haus- Verzehrs in Deutschland vorliegen. Diese Arbeit findet signifikante Unterschiede für beide Ausgabenkategorien nach Geschlecht, Beruf, Haushaltszusammensetzung und Region. So haben Frauen geringere Ausgaben sowohl für den Inner- als auch den Außer- Haus-Verzehr. Außerdem ergibt sich ein nichtlinearer Zusammenhang zwischen der Haushaltsgröße und dem Inner- und Außer-Haus-Verzehr.
Schlagwörter	cohort analysis ; APC model ; food-at-home expenditures ; food-away-from-home expenditures ; consumption ; Germany ; Kohortenanalyse ; APC Modell ; Inner-Haus-Verzehr ; Außer-Haus-Verzehr ; Verbrauch ; Deutschland ; Consumer/Household Economics ; Demand and Price Analysis ; Food Consumption/Nutrition/Food Safety
Thema/Rubrik (Code)	690
Sprache	Englisch
Erscheinungsland	us
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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Konferenzbeitrag ; Online: Heterogeneous Demand for Food Diversity

Drescher, Larissa S. / Goddard, Ellen W.

A Quantile Regression Analysis ; Heterogene Nachfrage nach Lebensmittelvielfalt: eine Quantil-Regressionsanalyse

2011

Abstract: Poverty and inequality studies frequently use the quantile regression approach to provide results on the impact of determinants at different points of the distribution of a dependent variable. To innovate diversity research this paper uses quantile ... ...

Abstract	Poverty and inequality studies frequently use the quantile regression approach to provide results on the impact of determinants at different points of the distribution of a dependent variable. To innovate diversity research this paper uses quantile regressions to identify determinants at different points of the food diversity distribution. Regional and household level differences in demand for food diversity are analysed based on a pooled sample of Canadian data of the Family Food Expenditure Surveys of Statistics Canada. Simple OLS regressions show that the determinants of Canadian diversity demand are similar to those of other developed countries. However, with quantile regressions significantly different effects of independent variables on diversity across quantiles are observed. In most cases, low diversified households, especially those in the lower 10% quantile of the distribution, are much more affected by key determinants such as household size, (real) income and age than higher-diversified households. Results further reveal that the demand for food diversity is not stable over time but is lower in 1996 and 2001 than in 1984. The diversity decline over time is higher for households in the middle quantiles compared to the moderate decline for households located at the ends of the diversity distribution. In Armuts- und Ungleichheitsstudien sind Quantil-Regressionen eine häufig angewandte Methode um den Einfluss von Determinanten an verschiedenen Punkten der Verteilung einer abhängigen Variablen zu identifizieren. Um die bestehende Lebensmittelvielfaltsliteratur zu erweitern, werden in diesem Beitrag Quantil-Regressionen dafür genutzt, Nachfragedeterminanten an verschiedenen Stellen der Lebensmittelvielfaltsverteilung zu bestimmen. Dabei werden sowohl regionale als auch weitere haushaltsspezifische Unterschiede in der Nachfrage basierend auf einem gepoolten kanadischen Datensatz identifiziert. Ergebnisse einfacher Regressionen bestätigen, dass die Nachfrage nach Lebensmittelvielfalt in Kanada von ähnlichen Determinanten bestimmt ist wie in anderen Ländern. Die Quantil-Regressionen zeigen allerdings, dass je nach Quantil signifikant unterschiedliche Einflüsse auf die Vielfaltsnachfrage vorliegen. In den meisten Fällen sind die Haushalte mit der geringsten Vielfaltsnachfrage, insbesondere solche im unteren 10%-Quantil, am stärksten beeinflusst durch Schlüsselgrößen wie Haushaltsgröße, (Real)einkommen und Alter als Haushalte mit einer höheren Nachfrage nach Vielfalt. Die Ergebnisse zeigen auch, dass die Vielfaltnachfrage über die Zeit nicht konstant ist, sondern 1996 und 2001 niedriger ist als 1984. Der Rückgang in der Vielfaltsnachfrage über die Zeit ist größer bei Haushalten in den mittleren Quantilen im Vergleich Haushalten an den Enden der Vielfaltsverteilung.
Schlagwörter	Household demand ; Food diversity ; Quantile regressions ; Pooled samples ; Canada ; Haushaltsnachfrage ; Lebensmittelvielfalt ; Quantil-Regressionen ; gepoolte Daten ; Kanada ; Agricultural and Food Policy ; Food Consumption/Nutrition/Food Safety
Thema/Rubrik (Code)	339 ; 300
Sprache	Englisch
Erscheinungsland	us
Dokumenttyp	Konferenzbeitrag ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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