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A World Of Information Without Noise 

Big data is more than just a buzzword. It’s one of the biggest challenges and opportunities facing almost every industry, business and brand today. With the potential value that it holds, investment in big data, machine learning and AI will be crucial for any business that wants to remain relevant through the ages.

Big Data

noun : extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.

Each day 2.5 quintillion bytes of data is generated – a number that continues to grow exponentially. While we have seen improvements in the collection of data over recent years, the ability to synthesize meaning from this data is demanding more from engineers and their technology than ever before.

The problem that we face is sorting through these huge chunks of data to separate the noise from what is important to individuals and their organisation. While automation has offered speed, simplicity and efficiency, the ‘why’ is where the untapped value and excitement lies.

“Contextualisation is key. It's not about just collecting data, it’s about how that data can provide clear information that enables and inspires action”

Richard Spencer, Chief Marketing Officer at Isentia.

Rather than reflecting on past performance, answering the ‘why’ has the potential to lead action that focuses on influencing the tomorrow.
Beyond big data, the 'why' behind AI and machine learning may raise new questions. For instance the wider interplay behind machine learnings ability to  translate to a language without any knowledge or assumptions about that language.

As teams start to ask these questions, the data starts to be reimagined. The perception of a data point transforms into breadcrumbs of a narrative that can tell a bigger story, and ultimately influence our thinking.

The question is, when big data becomes manageable and meaningful – how fast will it move into being predictive? And even beyond this, be able to simulate what is ‘likely’ to happen.

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If your New Year’s resolution is to get ahead of the tech curve, you’re in luck.

As artificial intelligence (AI) transitions from novel to normalised in 2018, there are many ways you can integrate advanced technology into your day-to-day life, making you more productive at work and at home. Andrea Walsh, one of Australia’s most successful CIO’s, shares tips on how everyone can use machine learning to squeeze more out of the day.

Decision making

You may not trust a computer to make important decisions for you, but it can help guide your choices. Committed to read more in 2018? Amazon will analyse your previous purchasing behaviour to recommend books you might like. If you’d simply like to reconnect with old friends or spend more time with new ones, Facebook will flag friend suggestions for you. If you’re in the market for a new job this year, let LinkedIn’s algorithms suggest jobs you may be interested in or people you should be networking with. Embrace these tools to help cut through the noise and then use your own insight to make decisions on a narrowed, personalised field.

Be more punctual

If you are perennially late and have vowed to be more punctual in 2018, Google Maps is your new best friend, helping you avoid time-sucking activities like getting lost in parking lots or being caught in heavy traffic. Using data from your smartphone, Google is able to provide you with directions to where you parked your car. On the road, Google will analyse your position together with anonymised data from other smartphones to suggest the fastest route to your destination. If driving full-stop is your peeve, then you will be pleased to hear that California authorities will allow self-driving cars to be tested alongside cars driven by humans on roads this year. Experts predict this could result in a 90% reduction in accidents (which will arouse all sorts of ethical debates as to whether humans will still be able to drive cars), 75% less cars on the road and reduce the work commute by almost half.

Boost creativity

With the rise of machine learning comes the fear of job losses. “The development of full artificial intelligence could spell the end of the human race,” Stephen Hawking told the BBC.

An Oxford University survey suggested that 47 per cent of the world’s jobs could be replaced within decades. Autonomous cars present one example of how jobs in transport and logistics may be replaced by robots. With this uncertainty comes the understanding that routine work is far more likely to be automated than jobs requiring skills like creativity or emotional intelligence. Machines may be adept at processing large volumes of data, but they can’t make insightful or creative decisions. The good news is that as machines become smarter, humans are freed from mundane tasks and can become more creative. If you’re in a small business, using accounting products like Xero to manage your financial reporting. This allows you to turn your attention to business boosters like problem solving, improving customer service or creating new products. If you’re in big business, tools like Amazon Transcribe or Amazon Translate can perform laborious tasks like producing and translating documents with lightning speed and accuracy, allowing you to focus on big picture thinking like strategy and profitability.

Stay on top of current affairs

In my work at Isentia, we use machine learning to process seven million news items each day. Not long ago this was a task relegated to humans with the mind-numbing task of flipping through newspapers in search of stories that might relate to a client. Machines trawl video, audio and digital content across more than 5,500 new sites at a rate of 234 stories per second and present meaningful summaries to clients in real-time. Whether a story breaks on Twitter and then spills across news platforms and onto television and radio, machine learning can track and analyse how a story evolves with 99% accuracy. Use these tools to stay on top of the issues or people relevant to your industry – in real time.

Make your mark in 2018

The robots aren’t ‘coming’, they are well and truly here. Without realising, we interact with ‘smart’ technology at almost every touch point of our daily lives. As a technologist, I am excited by machine learning not only because I see its profit boosting value, but also for how much it can improve our working lives each and every day.

If you learn one thing this year, take the time to discover how AI can help you be a more creative and productive version of you in 2018.

Headquartered in Sydney, Australia, Isentia is a media intelligence company operating since 1982. The company is backed by over 1,200 employees with 18 offices across Australia, New Zealand, Asia, Europe and the US. Isentia provides more than 5,000 clients, including many of the world’s leading brands, companies and governments, with media intelligence software and services that help drive more informed and timely business and communication decisions.

Originally featured on Women Love Tech.

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The Singapore general election was quick and felt like more of a touch-and-go event, but a lot was observed and could be learnt from media and audience reactions to the event.

We analysed, using Pulsar TRAC, more than 270k mentions across online news, podcasts, TV, Facebook, YouTube, TikTok, Reddit, X, forums and blogs in Singapore between March 28th - May 7th 2025, to see how the conversation was moving and being influenced by media and audiences. Based on this, we listed what we’ve learnt from this year’s election.

Which industries gained the most spotlight?

Chee Hong Tat’s defence of the GST hike shows the PAP leaning heavily on long-term fiscal planning. This was mainly covered by media outlets like the CNA, mentioning how these hikes were to eventually work on providing benefits to the seniors of society and that it wouldn’t be possible if these hikes weren’t in place. Audiences across X and Facebook expressed their concerns around this, but were equally appreciative of open dialogue with the public.

The US and UK covered the election when their media focus was majorly on Trump’s tariffs

The peak in the US mentions were partly a consequence of Trump’s trade tariffs that wasn’t received particularly well by the rest of the world. PM Wong expressed his opinions on how Singapore continues to be a partner to the US but would expect a fair tariff rate in return. Big foreign peaks were tracked by Reuters and The Guardian that framed the election poll as a barometer of regional politics. Many of the foreign media talk about the opposition parties in Singapore and express that a healthy opposition makes for important parliamentary debate on essential matters like rising living concerns and jobs in Singapore.

Social saw the most audience discourse

The Straits Times leads the election coverage with many of its articles being linked or reposted around social media, mostly Instagram, Facebook and Reddit with audiences giving timely updates on speeches, election street campaigning or their favourite candidates, intending to start conversation. CNA and Mothership show the same pattern, each pulling far larger numbers once clips hit Facebook, X, TikTok and Reddit.

Which hashtags saw the most engagement online?

#ge2025 sat far above every other tag, yet party tags #pap and #rp still drove thousands of mentions. On keywords, PM Lawrence Wong outranked party names with the most mentioned on social posts. It’s important to note that these mentions are by audiences on social media like TikTok, X, Reddit, Instagram and Facebook. Lately, even short clips from podcasts around elections are becoming viral, not just on Instagram or TikTok, but even on Facebook that generally hosts long-ish format videos, second to YouTube.

Podcasts become new medium for election content for younger audiences

Yah Lah BUT logged more than a hundred election clips, nearly double its nearest podcaster, The Daily Ketchup. Audio hosts mixed humour, policy, and hot‑takes that travelled into short‑form video. These podcasts have been a growing trend in Singapore, hosted by youngsters who often invite political candidates onto their shows and pose questions that a young Singaporean would like to ask their leaders. These podcasters have seen their content travel fast on TikTok and Instagram reels for quick insights, but still have most of their audience engagement on YouTube.

Singapore’s GE2025 didn’t just offer political drama—it showed how media, both old and new, shape what people see and feel. From viral videos to policy debates, from mainstream reports to TikTok podcast clips, every format played a role. 

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Interested in learning more? Email us at info@isentia.com

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This was not an election won or lost on policy alone. While political parties released detailed plans around cost-of-living relief, energy, healthcare and education, the battle for attention played out across a different terrain. One shaped by identity, digital influencers and polarised media narratives.

1. Policy set the agenda, but didn’t hold it

At the start of the campaign, traditional media focused on familiar priorities. The Labor government’s May budget led with cost-of-living relief, fuel excise changes and increased rental support. The Liberals responded with proposals for nuclear energy and a plan to cut 40,000 public service jobs. While these issues framed the early weeks, they were quickly overtaken in online discussions by stories with more cultural weight.

On social media, a video comparing Peter Dutton to Donald Trump circulated widely, while Anthony Albanese’s “delulu with no solulu” moment during a Happy Hour podcast interview was picked up by national outlets and widely shared on social platforms. Personality often generated more interest than policy.

2. Messaging strategy went beyond the platforms

Both major parties tried to engage younger voters where they spend their time. Albanese’s appearance on podcasts and his interviews with influencers like Abbie Chatfield reflected a values-driven approach. Dutton’s appearance on Sam Fricker’s podcast targeted young men through a more casual, conversational format.

Mainstream media covered these appearances but often through the lens of political tactics rather than substance. When Abbie Chatfield’s pro-Greens posts attracted AEC scrutiny in early April, the story became more about influencer regulation than her political message.

3. Polarisation dominated public debate

The second leaders’ debate on 10 April marked a turning point, with stark contrasts on energy, education and immigration. Dutton's focus on crime and border control drew backlash, while Albanese was seen as calm but cautious. Instead of clarifying party differences, the debate intensified existing divides.

Online commentary quickly split along ideological lines. Audiences did not just debate the leaders’ points but used the debate to reinforce partisan views, highlighting how polarised public discourse has become.

4. Influencers reshaped election storytelling

Influencers became central to election storytelling. Abbie Chatfield faced strong support and criticism after posting about the Greens and questioning the Liberal Party’s media strategy. The Juice Media released satirical videos targeting defence and energy policies, resonating with disillusioned younger audiences.

Even incidents unrelated to official campaigns became flashpoints. In February, a video from an Israeli influencer alleging antisemitic comments by NSW nurses went viral, triggering political statements and shifting media attention to broader issues of hate speech and accountability online.

5. Culture wars outpaced policy in the final stretch

As the election neared, cultural tensions gained traction. On 12 April, media attention turned to Peter Dutton after reports emerged that his Labor opponent Ali France was leading in Dickson. Around the same time local authorities dismantled a tent encampment in the area while Dutton was campaigning in Perth. This raised questions about leadership and visibility on local issues.

Across social and news media, themes like Gaza, curriculum debates and identity politics took centre stage. Slogans such as “Get Australia back on track” were interpreted as echoes of US political rhetoric. Jacinta Price and Clive Palmer were both linked to similar messaging, fuelling memes and commentary about the Americanisation of Australian politics.

Rather than rallying around shared policy concerns, audiences engaged with content that reflected deeper anxieties about national identity and international influence.

What stood out the most wasn’t necessarily the policy itself, but the moments, memes, and messages that tapped into cultural tensions. The freedom for media and social media users to connect with and amplify these narratives created an arena where some politicians struggled to engage effectively. While some stuck to party lines without fully understanding the patterns driving media and social discourse, others embraced the shift, adapting to the rhetoric that was emerging online. The lesson is clear: in today’s media environment, ignoring what people are saying or the patterns of conversation isn’t an option.

Discover more of our political news services

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