Category: Insights Reports

The report examines patterns of influence on Twitter sampled from 1st – 30th April, along with related topics, topical communities’ and articles data form the basis for the analysis. This Insight report (sixth in the series of monthly editions) and In terms of numbers, over the month of April, we collected 535,118 tweets – equivalent to a roughly 50% increase on March’s GDPR reports.

The report examines patterns of influence on Twitter sampled from 1st – 31st March, along with related topics, topical communities’ and articles data form the basis for the analysis. This Insight report (fifth in the series of monthly editions) and includes the conversations on the Facebook hearing. Special Edition, we have also published our top ten recommendation articles about GDPR and what to do.

The report examines patterns of influence on Twitter sampled from February 20th to February 26th, along with related topics, topical communities’ and articles data form the basis for the analysis. This time frame covers the days following the shooting at Parkland School, Florida, USA, which happened on February 14th 2018.

The report examines patterns of influence on Twitter sampled from February 1st to February 28th, along with related topics, topical communities’ and articles data form the basis for the analysis. This Insight report (fourth in the series of monthly editions) found the conversation on the new law was only getting more intense. February saw a 40% increase in the number of tweets compared to January, in spite of covering three fewer days.

The report examines patterns of influence on Twitter sampled from January 1st to January 31st and along with topics, topical communities’ and articles data form the basis for the analysis.

The report examines patterns of influence on Twitter sampled from January 22nd to January 28th and along with Right Relevance topics, topical communities’ and articles data form the basis for the analysis. The tale which the Leave campaign told before the Referendum was that they reflected a vocal grassroots majority, this scenario has been overturned, and that Remain now leads both in the size of its flocks on Twitter, but also in the various metrics which we use.

The report examines patterns of influence on Twitter sampled from December 5th to December 31st and along with Right Relevance topics, topical communities’ and articles data form the basis for the analysis. Our overall findings are that the discussion about GDPR is driven by fear of failing to become compliant.

Our overall findings are that the discussion about GDPR is driven by fear of failing to become compliant, across all kinds of users. Just a glance at our groupings of top trending terms can give a flavour of keywords, which focus on guides and webinars which provide clear guidance on compliance. Discussions about more the more positive side of GDPR […]

The report examines patterns of influence on Twitter sampled from November 15th to December 4th and along with Right Relevance topics, topical communities’ and articles data form the basis for the analysis. Our overall findings are that the discussion about GDPR is driven by fear of failing to become compliant.

The report leverages tweets sampled from June 17th to June 25th 2017 and along with Right Relevance topics, topical communities’ and articles data form the basis for the analysis. The phrases used for gathering tweets are [“canneslions”, “cannes lions”, “canneslions2017”, “2017canneslions”]

The report leverages tweets sampled from April 20th to May 23rd 2017 and along with Right Relevance topics, topical communities’ and articles data form the basis for the analysis. Note: The anlaysis is based on EN-only (English) data. The phrases used for gathering tweets are: “cybersecurity”, “cyber security”

The report leverages tweets sampled from March 1st to March 31st 2017 and along with Right Relevance topics, topical communities’ and articles data form the basis for the analysis. The phrase used for gathering tweets is “iiot”.

Client brief. Carbon Brief asked Right Relevance to produce a map which visualised the climate change conversation on Twitter. In April, we published this map which was produced using data gathered over a few weeks. However, we wanted to produce something more substantial and insightful than this initial snapshot which captured just a brief moment in time. So we asked them to continue gathering data throughout the rest of 2016. In total, 13 million tweets were captured. Here, he explains his findings…

Updated Dec 2nd. Overall the published reports used over 20M tweets sampled from June to Nov 8th. The final report & graph used over 2M tweets from Nov 1 & 2. Along with these tweets, Right Relevance topics and topical influencer communities’ form the basis for the analysis.

Guest post from John Swain using Right Relevance data to analyze the Brexit conversations on Twitter in 2016.  The report produced (linked below) visualizes and maps those conversations along with other analysis in the form of graphs and charts. Brexit on Twitter Week Ending 3rd June. Part two of two.

Guest post from John Swain using Right Relevance data to analyze the Brexit conversations on Twitter in 2016.  The report produced visualizes and maps those

Guest post from John Swain using Right Relevance data to analyze the Brexit conversations on Twitter in 2016.  The report produced (linked below) visualizes and maps those conversations along with other analysis in the form of graphs and charts. Brexit on Twitter Week Ending 21st May. Part one of two.