All articles by Sameer Shah

#Dieselgate: The impact of corporate deception on social perception

Sophus3 VW social media by volume.png

We teamed up with Sophus3 and reviewed the Volkswagen’s #Dieselgate crisis on social media in their latest quarterly AMI publication on brand reputation management. Read on below for the full analysis:  The growing importance of social media has expanded our horizons in terms of content we consume and share whilst also affording us a much broader audience. News and opinions can now spread like wildfire online, particular negative info about brands, and VW was no exception. We have utilised various social media metrics and visualisations to illustrates the impact of #dieselgate. From this we can also identify certain key learnings for brands in monitoring and reacting to conversation on the web, with the aim of limiting damage and averting a crisis...

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Using Facebook topic data to understand which three car models are the most popular

Facebook topic data automotive use case activity chart png

The final part of social media researcher Sameer Shah’s trilogy focuses on the three brands in question: BMW, Ford and Honda. There’s also a cameo appearance from the embattled Volkswagen… With the first two blogs having been very demographic-centric to showcase Pulsar’s new Audience feature, it would be remiss of me not to look at the three car brands themselves and utilise our new Clusters. As an anonymous and aggregated data source, one of the key use cases for Facebook Topics is to ask questions of the dataset. Pulsar can do this adeptly with Clusters, and we’ve compared the top-five car models (from any brand) featuring in their conversation: For BMW, the ability to segment as such and ascertain that...

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Which car features are most-discussed on Facebook, and by whom?

Facebook topic data automotive use case 2 pie chart

In the second part of this series, social media researcher Sameer Shah takes a closer look at Facebook to find out what people say about certain automotive brands. Look out for an interesting finding about women… With its 1.4 billion users, Facebook is a vast and incredibly valuable resource for human thought. Facebook topic data allows you to mine topical information that is anonymised and aggregated, and the key thing to get to the best insights is to ask the right questions of your dataset. Pulsar can do this adeptly with its Clusters feature. For our recent research, we have compared different car features and what topics appear most on Facebook: You can see that Style is the overwhelming leader, with people posting or sharing content about automotive...

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Using Pulsar’s new audience dashboard to uncover who talks about cars on Facebook

Automotic Audience demographics

When releasing new features and integrating new data sources, there’s nothing better than having a play around to see what insights can be uncovered. And that’s exactly what social media researcher Sameer Shah has done in this blog, the first of a three-part series… Recently, we at Pulsar were granted access to an exclusive Facebook Topic dataset comprising three car brands: BMW, Ford and Honda. Unlike previous iterations of Facebook data, this is not just content from brand pages and public profiles; but all mentions of the aforementioned brand from 1.4 billion users. This lends a grand scale to insights not previously seen in social media listening and Pulsar in particular. Furthermore, this coincided neatly with the new Audience dashboard,...

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January Transfer Deadline Day on Twitter Network Timelapse

Topics Bundle

Last week, we shared with you our analysis of the buzz generated on Twitter during Transfer Day Deadline (the last day of the period in which a European football club can transfer players to and from other clubs into their playing staff). As one of Twitter’s biggest events of the year in Europe, 2014’s Transfer Day Deadline generated almost 2 million Tweets and involved 1.1 million football fans discussing the 20 Premiere League clubs. To capture the dynamics of the day we’ve animated the network visualisations producing a timelapse video showing how the conversation evolved over 22 hours, from 1AM to 11PM on Friday the 31st of January. The visualisation shows which clubs were discussed the most and when and what transfers...

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